Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Driving mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Driving ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Driving lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Driving scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.5778 1.6083582 3.5939 1.5605236 3.6854 1.4510306 3.4758 1.822179 3.6650 1.510491
car 20.3718 11.2585075 20.5291 10.9776332 18.8082 11.8978785 21.3457 9.979542 20.8121 10.575168
cycle 111.5823 0.2680597 14.6058 0.6739572 118.9671 0.2634566 108.7687 0.236229 106.1707 0.247808
motorcycle 165.7864 2.4125373 169.2670 2.2776478 171.3963 2.3187539 165.6897 2.290470 78.2815 8.472023
pedestrian 117.7422 5.3611940 118.7690 5.0669303 125.7986 5.4339293 108.6846 5.369617 114.7984 5.046090
truck 12.8769 2.6805970 12.8544 2.6759140 12.9229 2.6901878 12.7932 2.663187 12.8259 2.669994

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 11.8429 5.323786 11.9057 5.169663 12.2032 4.804626 11.5019 6.029775 12.1259 4.997549
car 60.0296 33.175517 60.4776 32.339560 55.2367 34.942175 63.2507 29.570970 61.3623 31.179790
cycle 1056.0756 2.537063 149.3308 6.890580 1131.8069 2.506424 1031.3665 2.239971 1007.9237 2.352547
motorcycle 677.1593 9.854076 694.9216 9.350827 703.6306 9.519144 673.0280 9.303840 301.9507 32.678658
pedestrian 430.7722 19.614501 435.8545 18.594447 458.9463 19.824404 398.7966 19.702746 421.3167 18.519444
truck 48.2407 10.042352 48.0074 9.993792 48.6849 10.134813 47.4152 9.870500 47.7161 9.933136

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.1053 0.4968800 1.1093 0.4816956 1.1380 0.4480374 1.0731 0.5625640 1.1329 0.4668998
car 7.4482 4.1162889 7.5080 4.0147726 6.8945 4.3613825 7.7686 3.6319822 7.6061 3.8648811
cycle 12.0337 0.0289091 1.4877 0.0686488 12.7754 0.0282914 11.7126 0.0254380 11.4227 0.0266611
motorcycle 43.9810 0.6400146 44.7716 0.6024437 45.3446 0.6134492 44.0991 0.6096198 21.3206 2.3074267
pedestrian 36.2573 1.6509173 36.4851 1.5565314 38.8793 1.6794099 33.3486 1.6476035 35.2598 1.5498857
truck 4.0322 0.8393835 4.0298 0.8388994 4.0372 0.8404357 4.0232 0.8375083 4.0269 0.8382811

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.3131 0.5361194 4.3544 0.5130143 4.7668 0.4599758 3.6997 0.6435107 4.4732 0.4757601
car 39.4240 10.7223881 40.0413 10.3154625 34.5682 11.3058097 41.4830 9.4858014 40.2449 9.9125298
cycle 126.6265 1.3402985 55.2040 2.2520253 135.8157 1.3284542 127.8817 1.2222110 126.5776 1.2293713
motorcycle 232.4374 2.4125373 235.1429 2.2845453 241.9555 2.2778367 230.0367 2.3189149 127.8550 9.0636910
pedestrian 302.3548 10.9904478 303.5597 10.4796482 318.2695 10.9713112 276.0744 10.7219283 291.1856 10.3084722
truck 26.6947 2.9486567 26.6366 2.9422423 26.7427 2.9539590 26.5737 2.9352900 26.5701 2.9348959

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 32.4888 4.038337 32.8058 3.865016 35.9326 3.467344 27.8433 4.842934 33.7074 3.585044
car 64.7946 17.622557 65.8398 16.961690 56.5256 18.487151 68.8121 15.735058 66.1281 16.287711
cycle 341.4053 3.613660 148.9514 6.076416 364.4421 3.564717 348.0017 3.325976 341.4351 3.316152
motorcycle 624.9041 6.486065 632.3631 6.143763 650.7467 6.126312 619.4116 6.244059 334.5354 23.715342
pedestrian 550.0703 19.994785 553.2490 19.099552 572.7851 19.744913 512.8701 19.918386 531.9800 18.833005
truck 64.4447 7.118466 64.0028 7.069651 64.7656 7.153914 63.5982 7.024966 63.4846 7.012419

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5734 0.0712712 0.5788 0.0681883 0.6333 0.0611060 0.4923 0.0856212 0.5945 0.0632248
car 24.9999 6.7993599 25.3800 6.5384195 21.9998 7.1951928 26.1298 5.9750224 25.5170 6.2849838
cycle 47.4953 0.5027211 20.6912 0.8440918 51.1536 0.5003490 47.5745 0.4546863 47.4500 0.4608526
motorcycle 87.6429 0.9096714 88.6417 0.8612042 91.1667 0.8582685 86.6655 0.8736430 49.4138 3.5029620
pedestrian 182.2290 6.6239348 182.6897 6.3069099 193.2885 6.6629943 163.8843 6.3647901 175.1177 6.1994673
truck 13.2084 1.4589836 13.2008 1.4581385 13.2155 1.4597590 13.1913 1.4570938 13.1922 1.4571910

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.4234 5.3018647 1.4326 5.2180324 1.4728 4.8772304 1.3213 6.0959212 1.4732 5.0803191
car 17.7677 96.9483830 17.9544 94.7255981 16.8612 107.0806319 18.6064 88.2057238 18.4422 93.4670480
cycle 178.2604 15.4511485 98.7451 46.6571632 189.2661 14.0526716 185.6481 14.5690388 186.5855 15.2051074
motorcycle 75.2828 135.2732906 75.7243 133.5893396 78.3411 126.6107178 80.0176 126.4118709 65.0446 172.2821301
other 95.3153 53.3216106 95.9512 52.1099424 97.8912 48.1913203 98.4399 47.1519216 96.8405 50.6587219
pedestrian 238.2394 172.3863435 242.9200 166.9676494 245.8589 166.4420537 232.2685 175.7656138 253.2319 176.0516433
rail 0.1748 0.1514818 0.1754 0.1493879 0.1784 0.1385225 0.1748 0.1514818 0.1773 0.1422249
truck 3.7178 7.4226106 3.7152 7.4174175 3.7073 7.4016769 3.7150 7.4171443 3.7586 7.5040755

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.3655 8.810818 2.3847 8.686255 2.4564 8.134540 2.1763 10.04067 2.4658 8.503463
car 20.1781 110.100675 20.4467 107.875014 19.1075 121.346581 21.1540 100.28306 20.9759 106.308018
cycle 243.1382 21.074587 134.0471 63.337406 258.1753 19.169057 253.2412 19.87351 254.6173 20.749107
motorcycle 85.4957 153.624488 86.5000 152.599317 88.8985 143.673098 90.8387 143.50718 73.8147 195.511088
other 109.7829 61.415144 110.5524 60.039658 112.8133 55.537366 113.4852 54.35846 111.6758 58.419260
pedestrian 266.7333 193.004109 273.6948 188.120313 274.8781 186.087478 259.8026 196.60163 283.7518 197.269622
rail 1.5167 1.314600 1.5221 1.296428 1.5478 1.202135 1.5167 1.31460 1.5391 1.234266
truck 5.7524 11.484797 5.7546 11.489149 5.7329 11.445904 5.7470 11.47396 5.8240 11.627820

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.8814 3.2828815 0.8862 3.227885 0.9093 3.011227 0.8238 3.8006095 0.9070 3.1278444
car 15.7085 85.7125152 15.8473 83.608969 14.9353 94.849537 16.4317 77.8966300 16.2799 82.5081179
cycle 130.8298 11.3399845 72.7917 34.394148 138.8878 10.312170 136.2342 10.6912016 136.8677 11.1535310
motorcycle 66.6420 119.7470061 66.7932 117.833559 69.3851 112.136533 70.8483 111.9262555 57.6046 152.5758311
other 83.4786 46.6999162 84.0232 45.631968 85.7028 42.191006 86.1640 41.2718442 84.7470 44.3324142
pedestrian 213.8360 154.7284097 217.2040 149.292144 220.9115 149.553078 208.6362 157.8822458 227.0203 157.8287969
rail 0.0201 0.0174553 0.0202 0.017214 0.0206 0.015962 0.0201 0.0174553 0.0204 0.0163886
truck 2.4246 4.8407427 2.4214 4.834462 2.4189 4.829368 2.4232 4.8379295 2.4478 4.8870727

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5862 8.286421 0.5894 8.133178 0.6005 7.848301 0.5532 9.310697 0.6020 7.957679
car 2.2618 23.352640 2.2772 22.894078 2.1213 25.807669 2.3773 20.709703 2.3422 22.467246
cycle 64.0797 71.062336 40.9856 83.446857 67.4456 68.984853 67.1147 65.007902 68.8366 70.458167
motorcycle 42.9217 220.217910 43.1821 217.614280 44.6830 214.854340 45.8287 195.912179 34.4839 248.174682
pedestrian 73.6436 188.327745 75.4478 181.983413 77.0192 183.837502 71.5795 184.183382 78.0652 188.686367
truck 0.4349 1.757726 0.4342 1.753512 0.4355 1.760168 0.4305 1.740180 0.4391 1.774709

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0460 14.785371 1.0522 14.518712 1.0733 14.027549 0.9853 16.582687 1.0775 14.243074
car 3.5306 36.452860 3.5556 35.747173 3.3008 40.157623 3.7096 32.316936 3.6551 35.062109
cycle 82.2084 91.166560 53.3649 108.651080 86.4215 88.393805 86.0373 83.336506 88.2097 90.287734
motorcycle 54.2982 278.587029 54.7111 275.714039 56.4292 271.334639 57.9327 247.655764 44.0211 316.812183
pedestrian 91.8320 234.840436 94.2138 227.247801 95.9597 229.046511 89.2417 229.630641 97.3520 235.303163
truck 1.3439 5.431578 1.3412 5.416277 1.3463 5.441566 1.3257 5.358319 1.3615 5.502643

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.3350 4.7348578 0.3367 4.6456659 0.3426 4.4777636 0.3166 5.3276070 0.3430 4.5344034
car 1.4645 15.1202243 1.4741 14.8200149 1.3778 16.7618799 1.5394 13.4109678 1.5165 14.5468511
cycle 50.3071 55.7889296 31.7738 64.6916124 53.0051 54.2147681 52.7245 51.0694094 54.0844 55.3584618
motorcycle 34.2391 175.6698725 34.4058 173.3864871 35.6969 171.6454353 36.5776 156.3651578 27.2990 196.4662118
pedestrian 59.3609 151.8027939 60.7504 146.5326167 62.1258 148.2882723 57.7114 148.4990581 62.9052 152.0441581
truck 0.1472 0.5949294 0.1470 0.5937456 0.1473 0.5955262 0.1462 0.5907267 0.1482 0.5989779

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5094 3.566005 0.5133 3.456984 0.5204 3.287274 0.4756 4.349137 0.5183 3.337285
car 11.1107 90.041625 11.1831 87.747821 10.3293 106.259357 11.8858 74.588098 11.8936 88.647878
cycle 28.6397 16.047022 17.4795 26.080046 30.5331 15.700928 29.1124 14.528191 33.3373 17.616758
motorcycle 118.9661 218.417802 118.8993 214.153087 127.0256 211.270350 135.0166 180.234832 84.7877 352.841600
pedestrian 157.9041 264.775866 159.9568 255.038735 167.6399 264.692429 144.0437 256.419029 188.9291 301.425780
truck 1.0031 2.674504 1.0031 2.674504 1.0031 2.674504 1.0031 2.674504 1.0031 2.674504

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.5521 10.864783 1.5639 10.532622 1.5855 10.015556 1.4489 13.250803 1.5791 10.167927
car 15.2458 123.552480 15.3793 120.673013 14.0946 144.993850 16.3576 102.650730 16.5018 122.994629
cycle 61.1072 34.238812 38.9457 58.108560 64.7171 33.279210 62.1989 31.039601 70.0427 37.013334
motorcycle 154.6478 283.928096 155.8303 280.670567 164.6633 273.869820 175.5430 234.333871 110.3675 459.291405
pedestrian 199.8303 335.078360 204.1557 325.510333 211.4297 333.833659 182.3416 324.595031 239.6678 382.376657
truck 3.6310 9.681272 3.6310 9.681272 3.6310 9.681272 3.6310 9.681272 3.6310 9.681272

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1672 1.1704229 0.1685 1.1346404 0.1708 1.0789389 0.1561 1.4274600 0.1701 1.0953532
car 8.2340 66.7285203 8.2808 64.9749708 7.6894 79.1023799 8.7874 55.1443586 8.7287 65.0583395
cycle 14.0174 7.8540644 8.2634 12.3293337 15.0235 7.7254592 14.2354 7.1040132 16.4969 8.7176159
motorcycle 92.8684 170.5033002 92.4750 166.5595241 99.3677 165.2694242 105.3920 140.6886661 66.0329 274.7941018
pedestrian 126.2536 211.7038613 127.4212 203.1632725 134.4008 212.2100824 115.1880 205.0517216 150.3986 239.9526331
truck 0.2771 0.7388461 0.2771 0.7388461 0.2771 0.7388461 0.2771 0.7388461 0.2771 0.7388461

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1716 0.3138796 0.1722 0.3092242 0.1744 0.2947888 0.1470 0.3946103 0.1755 0.2914592
car 5.6839 11.9274239 5.6884 11.6597241 5.1263 13.6387186 5.8924 11.0032643 5.8579 11.3071152
cycle 119.7831 32.3295963 82.9989 44.8768424 129.3101 31.4858654 122.9544 29.6030933 125.4911 31.6395863
motorcycle 37.2170 168.8672115 37.2571 163.7991974 38.7537 163.8272787 39.6882 156.8390173 35.7205 177.9449304
other 72.8654 0.3138796 73.1492 0.2930285 78.6552 0.2690978 76.9903 0.2488815 75.6311 0.2972649
pedestrian 226.4491 95.7332705 229.9565 92.3609705 238.2072 94.5234749 215.2807 91.5466921 237.8135 94.3222866

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3115 2.398498 1.3160 2.362926 1.3327 2.252627 1.1261 3.022375 1.3409 2.226614
car 10.2707 21.552555 10.2914 21.094755 9.2070 24.495904 10.6435 19.875091 10.5932 20.447408
cycle 176.6624 47.681383 123.7906 66.932618 190.2460 46.323210 181.5461 43.709920 184.7190 46.572489
motorcycle 53.2856 241.776828 53.5422 235.395638 55.3472 233.974392 56.6020 223.678742 51.2213 255.163656
other 551.1190 2.374035 553.4489 2.217061 595.9188 2.038778 583.9080 1.887560 571.8040 2.247452
pedestrian 308.5193 130.429125 314.1793 126.188638 324.1625 128.631541 293.8690 124.965846 323.5247 128.317287

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0225 0.0411179 0.0226 0.0405081 0.0228 0.0386176 0.0192 0.0515712 0.0230 0.0381900
car 3.1897 6.6934266 3.1889 6.5364008 2.8946 7.7011318 3.3075 6.1763432 3.2845 6.3398926
cycle 83.4588 22.5256290 57.6491 31.1704323 90.1904 21.9605574 85.5532 20.5982144 87.5353 22.0699315
motorcycle 26.5382 120.4138167 26.4831 116.4315227 27.6658 116.9543230 28.3853 112.1724149 25.4323 126.6935631
other 9.6491 0.0415652 9.6838 0.0387924 10.3962 0.0355677 10.1658 0.0328622 10.0188 0.0393785
pedestrian 167.4302 70.7825230 169.7030 68.1604236 176.2203 69.9263014 158.8141 67.5346503 176.0377 69.8205723

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 8.5062 0.8041791 8.5768 0.7794332 8.8289 0.697673 7.9518 1.048033 8.6997 0.7383052
car 24.7843 5.8973134 24.9074 5.7143085 22.2215 6.115271 25.8643 5.256480 25.6200 5.5209095
cycle 391.3028 1.3402985 123.2128 2.8401255 409.5467 1.304063 392.8341 1.302500 438.2930 1.4508246
motorcycle 432.1130 2.9486567 440.6546 2.7901925 454.7865 2.730644 433.9875 2.910997 208.8045 10.6631928
pedestrian 142.4575 2.9486567 143.5738 2.8221252 145.5622 2.887665 134.0165 3.003935 158.9102 3.1898479
truck 11.4967 1.0722388 11.4322 1.0662318 11.4692 1.069674 11.4705 1.069795 11.9773 1.1170648

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 26.9909 2.551719 27.2148 2.473198 28.0147 2.213767 25.2318 3.325486 27.6047 2.342696
car 47.0115 11.186181 47.2035 10.829538 41.7513 11.489811 49.8793 10.137143 53.0080 11.422795
cycle 1242.2792 4.255081 390.3014 8.996673 1284.1368 4.088901 1265.0795 4.194560 1719.5902 5.692137
motorcycle 1145.7489 7.818372 1168.4227 7.398367 1201.6365 7.214905 1159.3357 7.776313 556.8562 28.437440
pedestrian 364.9356 7.553617 366.8451 7.210806 367.3202 7.286903 349.4168 7.832061 520.8809 10.455783
truck 52.6453 4.909982 52.0414 4.853657 52.2089 4.869279 52.5840 4.904257 60.9693 5.686320

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.6808 0.2534386 2.7030 0.2456399 2.7824 0.2198730 2.5060 0.3302897 2.7417 0.2326783
car 15.4184 3.6687503 15.4959 3.5550968 13.8493 3.8112849 16.0313 3.2580960 15.7459 3.3931132
cycle 132.3925 0.4534735 41.7079 0.9613901 139.6732 0.4447423 131.0846 0.4346307 135.0297 0.4469712
motorcycle 164.4953 1.1224846 167.7366 1.0620958 173.6929 1.0428927 164.0892 1.1006378 78.8636 4.0273932
pedestrian 61.1428 1.2655632 61.6454 1.2117192 63.0615 1.2510156 56.5523 1.2676009 61.6942 1.2384035
truck 3.0600 0.2853871 3.0526 0.2846998 3.0587 0.2852735 3.0544 0.2848679 3.0834 0.2875706

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.7669 1.608358 3.7785 1.572207 3.9465 1.477157 3.4290 1.847868 3.8113 1.507634
car 23.0748 16.351642 23.2888 15.900282 21.0196 17.038721 24.6241 14.839339 23.8588 15.229816
cycle 137.9793 1.608358 47.7628 3.248445 152.8982 1.564663 135.0436 1.491557 135.9241 1.503700
motorcycle 350.1488 6.165373 350.4786 6.026655 367.0844 5.855812 364.7182 5.557488 161.4641 24.490563
pedestrian 101.8056 10.454328 103.3693 9.982024 107.6749 10.405832 93.7976 10.083944 99.5271 9.756339
truck 4.1167 1.072239 4.1167 1.072239 4.1167 1.072239 4.1167 1.072239 4.1167 1.072239

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 12.1955 5.207160 12.2275 5.087735 12.8546 4.811477 10.9774 5.915647 12.3254 4.875568
car 35.1932 24.939168 35.5321 24.259325 31.9745 25.918950 37.7545 22.752189 36.3963 23.232878
cycle 337.1550 3.930053 116.7831 7.942650 372.6323 3.813281 331.8479 3.665262 332.4868 3.678233
motorcycle 678.8844 11.953706 679.8416 11.690217 710.0639 11.327098 709.5443 10.811866 316.5816 48.018502
pedestrian 163.5169 16.791411 166.2219 16.051476 172.1464 16.636440 152.1600 16.358345 160.1802 15.701987
truck 11.1903 2.914647 11.1903 2.914647 11.1903 2.914647 11.1903 2.914647 11.1903 2.914647

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.2180 0.5200348 1.2223 0.5085726 1.2693 0.4750902 1.1195 0.6032888 1.2336 0.4879743
car 15.5005 10.9842468 15.6388 10.6773176 14.1491 11.4694698 16.4717 9.9264089 16.0216 10.2270507
cycle 56.8624 0.6628177 19.6716 1.3379040 63.1572 0.6463110 55.3717 0.6115805 55.9560 0.6190302
motorcycle 182.1953 3.2080712 182.2782 3.1343647 191.4436 3.0539505 189.1789 2.8826623 82.9400 12.5801877
pedestrian 64.6725 6.6411684 65.5949 6.3342779 68.6641 6.6357840 59.0863 6.3522157 63.0990 6.1854007
truck 1.5144 0.3944546 1.5144 0.3944546 1.5144 0.3944546 1.5144 0.3944546 1.5144 0.3944546

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.6365 0.5361194 0.6475 0.5233396 0.6803 0.5014509 0.5683 0.5879985 0.6521 0.5073658
car 15.9949 17.1558209 16.2862 16.8346705 14.5400 18.3920545 17.4084 15.3755191 16.5666 16.2717533
cycle 31.8481 0.5361194 9.6820 1.1132368 34.7131 0.5328692 33.7574 0.4844360 32.4584 0.5037084
motorcycle 255.2678 6.9695522 257.6322 6.8645666 277.6823 6.2409761 281.9217 5.8383008 119.9842 27.7312816
other 73.1627 0.2680597 74.1568 0.2647426 78.4157 0.2578915 71.7933 0.2550067 75.2052 0.2520382
pedestrian 131.0217 19.3002985 133.6621 18.6688388 139.5426 19.2949392 120.5798 19.1259712 130.0941 18.4169021
truck 7.8315 3.2167164 7.8315 3.2167164 7.8315 3.2167164 7.8315 3.2167164 7.8315 3.2167164

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.8534 4.087742 5.0032 4.043732 5.1785 3.817153 4.3250 4.475203 5.0658 3.941723
car 25.4968 27.347333 27.1547 28.069070 22.9587 29.041251 27.7341 24.495421 28.1062 27.605895
cycle 136.6854 2.300915 41.5646 4.779117 148.4798 2.279261 144.9485 2.080084 144.7574 2.246432
motorcycle 481.7173 13.152281 502.3912 13.386132 522.0709 11.733667 532.5117 11.027757 226.3006 52.303616
other 571.8020 2.095018 590.9995 2.109890 610.7240 2.008533 560.5383 1.991007 604.2891 2.025178
pedestrian 209.1957 30.815802 224.6152 31.372438 219.8493 30.399176 193.6262 30.712354 225.5123 31.924868
truck 13.9504 5.729976 13.9504 5.729976 13.9504 5.729976 13.9504 5.729976 13.9504 5.729976

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0844 0.0711258 0.0854 0.0690046 0.0903 0.0665817 0.0755 0.0780803 0.0858 0.0667297
car 10.8270 11.6128476 10.9158 11.2833864 9.8912 12.5116550 11.7410 10.3699191 11.0596 10.8627029
cycle 7.4904 0.1260901 2.2766 0.2617661 8.1819 0.1255981 7.9288 0.1137824 7.5218 0.1167272
motorcycle 138.8791 3.7918034 138.9945 3.7034865 151.5238 3.4055327 153.1718 3.1720267 64.8758 14.9943853
other 9.5171 0.0348695 9.5565 0.0341171 10.2226 0.0336199 9.3388 0.0331710 9.6530 0.0323503
pedestrian 90.2331 13.2918772 90.9661 12.7054162 96.7666 13.3801806 82.4654 13.0803911 87.8447 12.4358242
truck 4.3965 1.8058129 4.3965 1.8058129 4.3965 1.8058129 4.3965 1.8058129 4.3965 1.8058129

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.1490 0.8041791 4.7497 0.8889078 4.5365 0.7469432 3.5320 0.8820492 4.6352 0.8141642
car 19.7615 8.3098507 20.7676 8.4063949 17.8941 8.6176018 20.6290 7.5242716 20.9301 7.9608705
cycle 322.8745 0.8041791 64.1178 2.3207295 362.3227 0.7661085 322.5232 0.7663919 340.1933 0.8234674
motorcycle 267.0921 2.9486567 286.8201 3.0124202 277.7918 2.7270595 271.6653 2.8132268 142.1616 12.3135854
pedestrian 99.4684 3.7528358 110.4351 3.9494305 102.8248 3.6969936 92.6551 3.7731646 104.8934 3.8267023
truck 8.3317 1.3402985 8.3317 1.3402985 8.3317 1.3402985 8.3317 1.3402985 8.3317 1.3402985

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 17.5226 3.396292 23.3192 4.364218 18.9685 3.123203 14.9728 3.739134 21.8848 3.844020
car 38.1659 16.049053 45.3966 18.375828 34.2035 16.471981 40.1977 14.661812 44.1477 16.791831
cycle 1257.7115 3.132565 249.9293 9.046135 1401.8068 2.964032 1267.5819 3.012076 1492.5694 3.612894
motorcycle 726.4152 8.019515 875.0265 9.190248 754.6975 7.408805 741.3868 7.677421 366.7690 31.768375
pedestrian 250.2632 9.442162 333.3137 11.920120 255.2054 9.175728 236.1351 9.616057 308.6267 11.259270
truck 20.3788 3.278282 20.3788 3.278282 20.3788 3.278282 20.3788 3.278282 20.3788 3.278282

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0900 0.2112697 1.1537 0.2159199 1.1974 0.1971576 0.9254 0.2310960 1.1504 0.2020706
car 11.8810 4.9960507 12.0701 4.8857829 10.8041 5.2031080 12.3278 4.4964761 12.2855 4.6728623
cycle 87.0786 0.2168855 17.2797 0.6254345 98.1892 0.2076148 86.2241 0.2048889 87.1293 0.2109039
motorcycle 104.5050 1.1537195 107.8461 1.1326887 108.6286 1.0663986 106.0287 1.0979789 57.8423 5.0101156
pedestrian 44.5309 1.6801014 46.1881 1.6518018 46.4081 1.6685702 40.9409 1.6672236 44.2843 1.6155741
truck 3.4063 0.5479700 3.4063 0.5479700 3.4063 0.5479700 3.4063 0.5479700 3.4063 0.5479700

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 359.5354 0.2092531 358.8326 0.208844 405.4990 0.1906188 421.2217 0.1791517 373.5955 0.2090732
bus 1.9480 3.1387958 1.9655 3.058035 1.9927 2.9802191 1.7773 3.9015475 1.9904 2.9566294
car 3.6342 5.0220732 3.6640 4.912425 3.1018 6.3839212 3.7882 4.4522706 3.7207 4.7685127
cycle 178.1216 11.2996647 86.6639 27.592061 194.7322 10.9207962 192.5301 10.0180488 188.2012 11.0694258
motorcycle 40.5452 141.8735680 40.7404 140.427664 43.2076 140.6939425 42.4806 131.8426109 38.3004 155.0503925
pedestrian 161.4114 87.8862811 165.9583 84.921570 172.8143 89.1626621 154.6976 87.3897820 170.2157 87.7610868
truck 2.3508 1.2555183 2.3489 1.254503 2.3795 1.2708899 2.3357 1.2474948 2.3634 1.2622748

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 2676.7763 1.557909 2676.1453 1.557542 3018.4605 1.418932 3135.9243 1.333755 2781.1416 1.556395
bus 4.0200 6.477541 4.0653 6.325073 4.1482 6.203929 3.6041 7.911865 4.1338 6.140564
car 6.4109 8.859053 6.4777 8.684810 5.4150 11.144762 6.7156 7.892836 6.5950 8.452384
cycle 266.0752 16.879259 132.0452 42.040580 290.1553 16.272227 287.2693 14.947674 280.6439 16.506627
motorcycle 47.0720 164.711593 47.6582 164.272565 50.1536 163.311498 49.3436 153.142643 44.4170 179.812309
pedestrian 192.0967 104.594000 199.1302 101.895802 205.4770 106.014840 184.2744 104.097978 202.3445 104.326271
truck 7.5189 4.015772 7.5208 4.016762 7.6376 4.079176 7.4564 3.982364 7.5707 4.043440

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 48.3239 0.0281250 48.1600 0.0280296 54.5098 0.0256242 56.6160 0.0240796 50.2184 0.0281035
bus 1.0320 1.6628964 1.0403 1.6186094 1.0507 1.5714347 0.9504 2.0862889 1.0508 1.5609728
car 2.1562 2.9795891 2.1716 2.9114738 1.8534 3.8145043 2.2398 2.6324613 2.2000 2.8196334
cycle 119.9794 7.6112412 57.2275 18.2201022 131.4903 7.3741206 129.8280 6.7554273 126.9798 7.4685682
motorcycle 35.2334 123.2868312 35.2757 121.5915780 37.5425 122.2469829 36.8869 114.4820795 33.3136 134.8627776
pedestrian 136.7029 74.4328383 139.9917 71.6343559 146.4513 75.5607929 130.8736 73.9314554 144.2824 74.3901765
truck 0.7652 0.4087001 0.7643 0.4082189 0.7722 0.4124257 0.7616 0.4067672 0.7683 0.4103477

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0994 11.259942 1.1082 11.002044 1.1211 10.537214 1.0450 12.959758 1.1424 10.989865
car 22.7297 294.367053 22.9270 289.973370 21.2299 321.135548 23.8690 259.493493 25.2311 308.303628
cycle 147.4106 32.975544 61.7289 74.810491 156.2343 31.670358 152.2166 30.434911 187.6879 39.229706
motorcycle 102.1655 104.556604 104.2047 104.351992 107.0672 100.165545 109.5866 93.263454 64.2955 214.254394
other 1337.0892 49.865457 1369.3841 49.097438 1377.7300 48.415173 1398.1621 44.931253 1676.6372 60.276763
pedestrian 262.2002 513.131639 269.9985 501.625847 272.9825 501.909005 247.2057 506.783228 341.7700 638.828497
truck 2.1779 9.651379 2.1779 9.651379 2.1779 9.651379 2.1779 9.651379 2.1779 9.651379

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.6912 27.56307 2.7284 27.08775 2.7646 25.98394 2.4909 30.89243 3.0094 28.95092
car 27.1620 351.76774 27.5482 348.42094 25.3134 382.90477 28.5593 310.48417 30.3974 371.43183
cycle 244.9358 54.79179 108.9115 131.99199 258.6423 52.42957 252.7773 50.54150 306.3308 64.02794
motorcycle 139.8401 143.11305 144.3485 144.55259 146.2551 136.82733 149.8449 127.52528 88.7270 295.66848
other 2029.7271 75.69672 2096.3974 75.16353 2088.6946 73.39937 2122.1335 68.19675 2500.7836 89.90564
pedestrian 310.7348 608.11495 324.4047 602.70626 322.9947 593.86211 293.1135 600.89633 405.1009 757.20515
truck 4.2028 18.62493 4.2028 18.62493 4.2028 18.62493 4.2028 18.62493 4.2028 18.62493

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5508 5.641591 0.5545 5.504968 0.5606 5.269116 0.5272 6.538381 0.5608 5.394774
car 19.1588 248.120321 19.2674 243.688239 17.9286 271.198377 20.0969 218.484264 21.0949 257.762821
cycle 91.4736 20.462501 36.5207 44.260138 97.2226 19.708068 94.4985 18.894489 117.9455 24.652450
motorcycle 75.4507 77.216591 76.3601 76.468048 79.2028 74.097278 81.0112 68.944447 47.0729 156.863050
other 922.6178 34.408144 938.9587 33.665111 951.4069 33.433642 964.7802 31.004119 1167.5733 41.975414
pedestrian 222.9679 436.353161 227.8074 423.239745 232.4225 427.334993 210.1419 430.800697 290.0422 542.140251
truck 1.1286 5.001314 1.1286 5.001314 1.1286 5.001314 1.1286 5.001314 1.1286 5.001314

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2272 0.3437967 0.2291 0.3340199 0.2335 0.3097596 0.2156 0.3984618 0.2309 0.3204621
car 9.2695 14.0956652 9.3170 13.7238773 8.6801 15.7734199 9.9134 12.2556002 9.7956 13.4092499
cycle 92.6845 4.4693572 44.2181 9.1832406 100.4970 4.4195346 93.6980 4.0873933 97.3826 4.3284969
motorcycle 94.9077 46.7563528 95.4150 45.1656495 100.5972 45.8080290 102.5382 39.6370542 76.6432 62.2451985
pedestrian 60.3283 18.9088191 61.3295 18.0243801 65.9706 18.9425119 54.9234 18.2550327 62.0187 18.5857515
truck 1.9587 1.0313901 1.9587 1.0313901 1.9587 1.0313901 1.9587 1.0313901 1.9587 1.0313901

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6791 2.540309 1.6928 2.468068 1.7253 2.288809 1.5933 2.944228 1.7063 2.367889
car 15.6781 23.840844 15.7286 23.168268 14.5948 26.521489 16.8019 20.771625 16.6627 22.809712
cycle 215.0649 10.370686 108.4237 22.517503 230.7445 10.147399 218.0879 9.513666 226.6777 10.075458
motorcycle 136.1190 67.059158 136.5826 64.652774 143.4578 65.325070 147.7386 57.109693 109.7981 89.171699
pedestrian 92.8756 29.110161 94.2642 27.703699 100.6312 28.894828 84.7775 28.177708 96.7798 29.002930
truck 6.2152 3.272676 6.2152 3.272676 6.2152 3.272676 6.2152 3.272676 6.2152 3.272676

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0308 0.0465283 0.0310 0.0452051 0.0316 0.0419218 0.0292 0.0539265 0.0313 0.0433702
car 5.6500 8.5916445 5.6842 8.3728575 5.3150 9.6583202 6.0316 7.4566045 5.9349 8.1243288
cycle 41.8404 2.0175941 19.0290 3.9519547 45.7903 2.0137096 42.1857 1.8402688 43.7521 1.9447112
motorcycle 68.3350 33.6653095 68.7470 32.5420892 72.7225 33.1149633 73.5681 28.4384035 55.1383 44.7801439
pedestrian 40.4021 12.6632910 41.1035 12.0800744 44.5058 12.7791976 36.6961 12.1967577 41.0120 12.2904643
truck 0.6173 0.3250446 0.6173 0.3250446 0.6173 0.3250446 0.6173 0.3250446 0.6173 0.3250446

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 44.6971 9.1140299 45.1027 8.8484292 39.7453 9.554253 46.7521 8.2690962 45.7011 8.5193982
cycle 38.9659 0.2680597 17.2296 0.4635092 42.5353 0.259405 40.6679 0.2468389 38.3322 0.2513357
motorcycle 207.4394 1.3402985 210.7509 1.2709514 214.1727 1.284061 207.5485 1.2819151 102.9146 4.9624837
pedestrian 189.0451 6.7014925 190.9381 6.4084921 198.6465 6.641718 176.8090 6.6578113 184.7911 6.2811314
truck 22.6479 1.8764179 22.6479 1.8764179 22.6479 1.876418 22.6479 1.8764179 22.6479 1.8764179

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 78.6729 16.041908 79.4009 15.577201 69.7416 16.764980 82.8588 14.655324 80.4770 15.002188
cycle 309.5449 2.129465 136.9242 3.683529 337.4707 2.058094 324.0628 1.966939 304.7937 1.998463
motorcycle 790.2315 5.105809 802.9081 4.842006 814.4619 4.883063 792.2844 4.893512 399.8221 19.279196
pedestrian 367.9649 13.044051 372.0865 12.488406 385.0701 12.874762 347.4918 13.084941 360.7006 12.260375
truck 48.2308 3.995999 48.2308 3.995999 48.2308 3.995999 48.2308 3.995999 48.2308 3.995999

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 26.5475 5.4132003 26.7846 5.2547092 23.6727 5.6906045 27.6029 4.8821541 27.1347 5.0583390
cycle 4.9194 0.0338424 2.1744 0.0584960 5.3771 0.0327928 5.1184 0.0310668 4.8351 0.0317028
motorcycle 54.8948 0.3546836 55.7660 0.3363015 56.7845 0.3404486 54.7965 0.3384484 26.6833 1.2866558
pedestrian 99.6275 3.5317121 100.5164 3.3736496 105.1470 3.5155761 92.2713 3.4745113 97.1379 3.3017609
truck 10.6349 0.8811174 10.6349 0.8811174 10.6349 0.8811174 10.6349 0.8811174 10.6349 0.8811174

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.7043 0.5361194 1.7094 0.524647 1.7922 0.5006079 1.5826 0.5804936 1.7286 0.5026929
car 17.5062 8.0417910 17.6491 7.841018 15.9596 8.3491335 18.3069 7.4404722 17.7391 7.6406990
cycle 220.5118 0.5361194 42.2234 1.519329 249.3904 0.5081626 215.5239 0.5140117 212.4826 0.5165983
motorcycle 260.8895 1.0722388 268.4436 1.025058 274.2825 1.0175765 263.0571 1.0039271 86.6756 6.2273509
pedestrian 271.8267 14.4752239 276.8515 13.825917 286.8926 14.2054454 253.8021 14.3992912 267.8632 13.6959487
truck 10.4952 1.8764179 10.4952 1.876418 10.4952 1.8764179 10.4952 1.8764179 10.4952 1.8764179

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 12.8682 4.047951 12.9082 3.961760 13.5348 3.780697 11.9431 4.380618 13.0544 3.796278
car 31.1350 14.302467 31.4044 13.952135 28.2890 14.799191 32.6995 13.290051 31.5482 13.588676
cycle 959.6031 2.333035 183.8260 6.614634 1083.3388 2.207432 940.3326 2.242638 925.1018 2.249154
motorcycle 1157.3713 4.756721 1189.9489 4.543845 1208.9160 4.485028 1168.4710 4.459335 446.0024 32.043784
pedestrian 465.5551 24.791587 474.5852 23.700703 487.7462 24.150684 439.4204 24.930221 460.0151 23.520745
truck 22.3505 3.995999 22.3505 3.995999 22.3505 3.995999 22.3505 3.995999 22.3505 3.995999

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2260 0.0710817 0.2266 0.0695535 0.2376 0.0663578 0.2099 0.0770061 0.2292 0.0666379
car 10.1869 4.6795687 10.2658 4.5608302 9.3132 4.8721522 10.6140 4.3138641 10.3224 4.4461615
cycle 50.8207 0.1235577 9.7269 0.3500046 57.5761 0.1173181 49.5440 0.1181594 48.9477 0.1190040
motorcycle 65.7014 0.2700283 67.6287 0.2582416 69.4288 0.2575779 66.1321 0.2523856 19.3990 1.3937499
pedestrian 170.8813 9.0997113 173.8449 8.6817836 181.3562 8.9798248 158.2121 8.9760558 168.1113 8.5955964
truck 4.9283 0.8811174 4.9283 0.8811174 4.9283 0.8811174 4.9283 0.8811174 4.9283 0.8811174

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 35.4179 3.6538355 35.8407 3.5387833 29.0779 3.5687725 39.7669 3.4284389 39.9754 3.5857425
cycle 399.2177 0.2949838 79.5106 0.8337814 413.2828 0.2759878 446.8697 0.2969725 426.0944 0.3134659
motorcycle 68.1323 0.2543145 68.2122 0.2380715 71.4978 0.2012747 75.2321 0.2427716 46.5597 1.2524042
other 221.8124 0.2689055 218.4029 0.2633245 228.3552 0.1254774 221.9801 0.2330609 293.3393 0.2982605
pedestrian 272.6414 2.4425453 275.4830 2.3543836 268.3677 2.2714674 261.4522 2.6516504 291.9695 2.5306499
truck 39.0661 1.5529796 39.0661 1.5529796 39.0661 1.5529796 39.0661 1.5529796 39.0661 1.5529796

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 226.0222 23.317241 228.4386 22.555233 182.1549 22.356147 252.8317 21.797496 275.6939 24.729402
cycle 6214.1313 4.591651 1214.9253 12.740215 6253.7076 4.176189 6844.1213 4.548341 7139.0860 5.252028
motorcycle 812.6711 3.033420 816.2349 2.848791 837.1678 2.356726 893.6100 2.883651 599.7449 16.132466
other 2899.1363 3.514653 2857.9425 3.445770 3573.8152 1.963753 2808.6257 2.948826 3931.5339 3.997491
pedestrian 2010.6045 18.012647 2029.3920 17.343967 1945.9699 16.470715 1937.3960 19.649087 2344.4055 20.320170
truck 196.0798 7.794690 196.0798 7.794690 196.0798 7.794690 196.0798 7.794690 196.0798 7.794690

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.2390 0.6436365 6.3196 0.6239794 5.1903 0.6370194 7.0139 0.6046914 6.7421 0.6047611
cycle 27.5075 0.0203254 5.5109 0.0577891 29.2515 0.0195340 31.2859 0.0207914 27.9816 0.0205853
motorcycle 5.8947 0.0220028 5.8820 0.0205292 6.3029 0.0177433 6.5313 0.0210762 3.7743 0.1015246
other 18.9949 0.0230278 18.6842 0.0225272 15.9361 0.0087566 19.7434 0.0207290 24.6654 0.0250792
pedestrian 43.2773 0.3877140 43.7618 0.3740055 43.2313 0.3659107 41.2502 0.4183599 43.8459 0.3800351
truck 8.1939 0.3257287 8.1939 0.3257287 8.1939 0.3257287 8.1939 0.3257287 8.1939 0.3257287

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.0300 6.123743 2.0349 6.020459 2.1059 5.861755 1.9096 6.762547 2.0682 5.886961
car 26.9533 83.336150 27.2214 81.223949 25.0108 93.247583 28.7974 74.939149 27.5554 80.330888
cycle 197.7382 33.014960 114.0121 50.062935 219.6537 32.269780 209.6341 30.776217 203.3698 31.817371
motorcycle 129.1084 50.321190 128.7892 49.416320 133.8944 49.368733 136.2823 45.101477 89.6485 93.658224
other 257.3582 2.928746 259.6656 2.824439 275.5926 2.889069 266.2923 2.769860 265.1757 2.819508
pedestrian 266.8203 141.911080 270.1527 136.792879 286.6900 142.632598 255.2413 143.166294 271.0502 137.612891
truck 7.5829 8.786240 7.5406 8.737167 7.6852 8.904671 7.5324 8.727685 7.5751 8.777121

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.9508 11.918155 3.9653 11.731796 4.1214 11.471602 3.6863 13.054660 4.0386 11.495173
car 32.9382 101.840890 33.3721 99.576441 30.4769 113.626812 35.2454 91.718593 33.8114 98.568597
cycle 267.9573 44.738953 157.1791 69.017646 296.2032 43.515822 283.6813 41.647019 277.2930 43.382709
motorcycle 168.4274 65.646128 168.7232 64.738972 174.3684 64.292088 177.7335 58.819402 117.0760 122.312474
other 522.4862 5.945913 529.3500 5.757855 558.6233 5.856113 540.3047 5.620021 540.0158 5.741773
pedestrian 322.5016 171.525755 328.5722 166.373852 345.1474 171.716025 308.5364 173.059845 330.5969 167.844898
truck 13.3890 15.513619 13.3428 15.460134 13.5679 15.720902 13.2891 15.397927 13.4003 15.526771

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0785 3.253355 1.0812 3.198926 1.1133 3.098865 1.0212 3.616443 1.0961 3.119974
car 22.3838 69.207804 22.5967 67.424558 20.8120 77.593293 23.8742 62.127570 22.8143 66.509189
cycle 148.6122 24.812733 84.4874 37.098606 165.7133 24.345275 157.7181 23.154461 152.0550 23.789123
motorcycle 100.2732 39.082400 99.9622 38.355411 104.0955 38.381485 105.8578 35.032736 69.4477 72.553907
other 128.1297 1.458121 129.1770 1.405086 137.3213 1.439555 132.6165 1.379420 131.6317 1.399588
pedestrian 225.1938 119.771614 227.7992 115.347015 242.5554 120.674950 215.2992 120.762540 227.1610 115.330201
truck 4.3362 5.024276 4.3117 4.995903 4.3931 5.090256 4.3097 4.993530 4.3249 5.011188

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0899 9.972984 1.0977 9.692684 1.1560 9.349246 0.9692 11.015174 1.1958 10.102807
car 14.2278 169.752917 14.3445 164.769543 13.3886 193.498588 15.0484 146.774384 15.2392 168.465067
cycle 265.1442 38.830980 96.0911 121.736141 290.8830 37.162986 269.4867 35.413854 294.4583 41.198344
motorcycle 269.6069 437.325953 270.4553 427.536039 283.0332 417.462786 287.3668 372.864599 195.9053 819.623347
other 23.4816 1.485338 24.1365 1.404959 24.5454 1.464413 24.8089 1.278133 28.3149 1.503187
pedestrian 213.9844 403.375369 215.8351 387.755575 230.9859 403.052535 196.8182 393.954513 245.5110 440.196967
truck 3.3592 15.065571 3.3448 15.000955 3.3825 15.169769 3.3103 14.846181 3.4955 15.676699

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6519 15.115879 1.6663 14.713703 1.7535 14.180954 1.4663 16.665590 1.8164 15.345693
car 15.7508 187.924298 15.9066 182.713795 14.7991 213.884836 16.6715 162.604970 16.9301 187.157564
cycle 327.9957 48.035725 121.1552 153.489406 359.0672 45.874134 333.3867 43.811099 363.8874 50.912320
motorcycle 291.0672 472.136373 292.9430 463.084683 305.4385 450.509781 310.3393 402.671925 211.2742 883.923159
other 50.2359 3.177688 51.7302 3.011159 52.5004 3.132246 53.0711 2.734183 60.5808 3.216128
pedestrian 232.1806 437.676511 235.1225 422.405980 250.1849 436.553153 213.6377 427.620647 267.3954 479.435367
truck 4.6913 21.039487 4.6741 20.962235 4.7265 21.197321 4.6156 20.700083 4.9019 21.984027

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.7200 6.5884178 0.7245 6.3978267 0.7631 6.1715652 0.6414 7.2895361 0.7882 6.6594276
car 12.8802 153.6745371 12.9761 149.0517752 12.1373 175.4150011 13.6130 132.7736473 13.7483 151.9837660
cycle 214.8002 31.4579835 76.4022 96.7925912 236.1405 30.1691239 218.2993 28.6872023 238.7391 33.4025435
motorcycle 250.2132 405.8676679 250.6328 396.2005942 262.7512 387.5476786 266.5889 345.9048979 181.9551 761.2585779
other 10.9827 0.6947147 11.2754 0.6563299 11.4823 0.6850476 11.6041 0.5978337 13.2410 0.7029426
pedestrian 197.8202 372.9047084 199.1652 357.8074565 213.8715 373.1891647 181.8825 364.0590409 226.0315 405.2705176
truck 2.4176 10.8426955 2.4071 10.7953301 2.4329 10.9112596 2.3860 10.7005497 2.5058 11.2378702

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 19.5793 9.3820896 19.7167 9.1190827 17.6987 10.0336531 20.7943 8.0418796 19.9103 8.7870918
cycle 91.7156 2.4125373 35.7794 2.6328099 100.9273 2.3469305 94.3260 2.1540936 91.5625 2.2804842
motorcycle 144.0304 2.1444776 145.0814 2.0729166 149.2217 2.0507625 149.5650 1.8106508 58.8356 6.7473738
pedestrian 121.6754 10.7223881 121.6859 10.1440097 129.6750 10.8513605 114.7841 10.7327369 119.0448 10.1311747
truck 2.8149 0.5361194 2.8149 0.5361194 2.8149 0.5361194 2.8149 0.5361194 2.8149 0.5361194

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 64.8980 31.098155 65.3564 30.227736 58.6887 33.271442 69.2959 26.799135 66.0384 29.144960
cycle 294.3557 7.742894 116.7474 8.590796 322.9307 7.509322 304.3150 6.949545 293.2110 7.302802
motorcycle 593.9877 8.843923 598.0365 8.544722 615.6995 8.461594 612.5357 7.415428 251.4076 28.831871
pedestrian 370.9022 32.684980 371.7880 30.993080 391.7062 32.778453 353.5238 33.055786 363.8511 30.965145
truck 16.5424 3.150660 16.5424 3.150660 16.5424 3.150660 16.5424 3.150660 16.5424 3.150660

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.2692 3.0041263 6.3105 2.9186505 5.6662 3.2122424 6.6269 2.5628322 6.3705 2.8115192
cycle 30.0094 0.7893833 11.5418 0.8492953 33.0987 0.7696670 30.7345 0.7018732 30.0018 0.7472329
motorcycle 36.3982 0.5419353 36.6829 0.5241245 37.6819 0.5178650 38.1134 0.4614054 14.4887 1.6615853
pedestrian 43.9867 3.8762404 43.8774 3.6577201 47.1652 3.9468444 41.2371 3.8558186 42.9819 3.6579228
truck 0.4907 0.0934669 0.4907 0.0934669 0.4907 0.0934669 0.4907 0.0934669 0.4907 0.0934669

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.6812 0.5086972 3.6707 0.4854869 3.8074 0.4421886 3.4635 0.5974321 3.7337 0.4659032
car 16.0252 3.7504203 16.3476 3.6487393 14.2355 3.8927853 16.5346 3.3247930 16.3370 3.5308593
cycle 94.0406 1.1120371 43.4464 1.5296220 98.1161 1.0518369 96.2557 1.0542735 95.3740 1.0533864
motorcycle 111.6154 0.7861492 113.3494 0.7261793 111.1605 0.7580655 115.6690 0.7664317 49.0850 2.3986073
pedestrian 74.9243 2.3080456 76.7722 2.2234083 76.3323 2.1884143 72.9101 2.4423142 75.1194 2.2217463

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 28.7423 3.971878 28.7843 3.807007 29.4819 3.424045 28.1938 4.863204 29.1916 3.642584
car 97.7632 22.879822 99.6039 22.231308 86.2110 23.574931 101.0675 20.322805 99.6082 21.527929
cycle 730.8193 8.641995 374.7528 13.193976 758.1127 8.127221 745.8343 8.169006 737.4838 8.145357
motorcycle 1029.8929 7.253924 1039.4458 6.659268 1029.1958 7.018658 1051.5534 6.967673 485.3519 23.717416
pedestrian 405.8930 12.503546 414.7484 12.011582 413.8036 11.863570 393.9625 13.196810 405.0870 11.980933

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5826 0.0805131 0.5789 0.0765653 0.6066 0.0704481 0.5303 0.0914731 0.5906 0.0736986
car 2.9473 0.6897637 3.0101 0.6718388 2.6455 0.7234159 3.0309 0.6094489 3.0058 0.6496332
cycle 13.8581 0.1638728 5.9423 0.2092097 14.5208 0.1556674 14.2070 0.1556068 14.1221 0.1559759
motorcycle 14.9079 0.1050021 15.2820 0.0979048 14.7875 0.1008441 15.6802 0.1038983 6.1757 0.3017846
pedestrian 14.8415 0.4571932 15.2485 0.4416127 15.1213 0.4335214 14.4642 0.4845166 14.9412 0.4419048

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 9.8314 28.60604 9.8613 28.03308 10.3166 27.56220 8.9778 30.50180 10.3024 27.50884
car 55.7649 61.75272 56.8997 59.98708 44.8700 69.47136 60.2875 49.52994 59.7150 60.82378
cycle 606.4861 22.70320 190.9655 47.38448 680.2946 22.96797 621.9108 18.73635 652.7889 22.60193
motorcycle 299.7510 64.02304 296.9254 63.36390 329.0156 61.64349 325.8798 50.00485 170.9109 120.80324
pedestrian 532.2026 311.48796 541.1829 297.59180 584.8345 318.30539 486.6980 279.80572 561.1292 311.60394
truck 40.7657 13.62192 40.6905 13.59682 41.0105 13.70375 40.2772 13.45872 40.9754 13.69202

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 14.1895 41.28693 14.3115 40.68394 14.9094 39.83247 12.9008 43.82999 14.9250 39.85197
car 72.9608 80.79498 75.2576 79.34108 58.5720 90.68591 78.9213 64.83874 78.5166 79.97447
cycle 825.8163 30.91361 260.0590 64.52873 924.5708 31.21517 847.6602 25.53751 894.2262 30.96137
motorcycle 388.5521 82.98983 389.2562 83.06730 424.9777 79.62271 422.6582 64.85508 223.5974 158.04317
pedestrian 617.7259 361.54315 636.3227 349.90835 675.5959 367.70376 566.4983 325.68341 658.0444 365.42253
truck 67.2668 22.47733 67.1755 22.44681 67.9249 22.69723 65.9234 22.02842 67.8682 22.67829

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 6.8544 19.94403 6.8691 19.527007 7.1816 19.186692 6.2846 21.351867 7.1574 19.111272
car 42.9832 47.59854 43.7716 46.146648 34.6481 53.645016 46.4241 38.140247 45.7951 46.645437
cycle 446.2941 16.70658 140.5043 34.863490 501.4631 16.930295 457.2200 13.774698 477.6100 16.536599
motorcycle 233.7755 49.93151 231.0328 49.302404 257.3501 48.216446 253.9396 38.965941 132.0737 93.352332
pedestrian 465.4342 272.40972 472.1739 259.644366 513.2447 279.341553 424.5994 244.104831 485.8273 269.787593
truck 25.8482 8.63724 25.8163 8.626572 25.9390 8.667551 25.6699 8.577649 25.9211 8.661579

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 8.0322 23.80271 8.0834 23.19226 8.4036 23.24133 7.4818 27.65575 8.3892 20.94271
car 70.6618 49.58898 70.6540 48.57881 50.1660 73.07488 73.9337 45.84726 75.2959 43.94999
cycle 158.0189 37.68763 87.6864 54.30586 184.6603 40.26296 164.6039 35.72624 166.2338 34.57332
motorcycle 80.6074 595.06781 81.1509 581.92324 90.4882 625.61288 84.9804 555.45639 74.5337 607.30420
other 1478.6560 23.80271 1488.5581 22.97030 1631.7561 24.62687 1565.8158 22.18572 1521.5960 21.49515
pedestrian 1085.0501 587.13357 1099.0907 566.29391 1222.4688 641.10374 1036.6257 591.99695 1089.3280 554.84942
truck 77.5310 19.83559 77.5310 19.83559 77.5310 19.83559 77.5310 19.83559 77.5310 19.83559

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 18.2122 53.97046 18.3513 52.65244 19.2995 53.37533 16.7944 62.07866 19.0853 47.64414
car 126.8561 89.02501 127.2467 87.48966 90.3793 131.65209 132.6000 82.22704 134.9803 78.78754
cycle 257.7429 61.47187 143.0072 88.56708 300.9369 65.61567 268.6067 58.29941 271.1133 56.38615
motorcycle 99.9057 737.53359 101.1486 725.32429 111.8104 773.02918 105.3360 688.50612 92.3677 752.61602
other 3399.4679 54.72304 3429.0097 52.91387 3700.9087 55.85504 3591.5831 50.88840 3491.9950 49.33041
pedestrian 1335.4306 722.61745 1361.4375 701.46509 1500.6911 787.01286 1276.4776 728.97174 1339.8182 682.43668
truck 145.9309 37.33509 145.9309 37.33509 145.9309 37.33509 145.9309 37.33509 145.9309 37.33509

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.7180 11.01809 3.7405 10.73211 3.8503 10.64859 3.4902 12.90116 3.8730 9.668559
car 39.6768 27.84434 39.6443 27.25784 28.0546 40.86600 41.5510 25.76632 42.3307 24.708273
cycle 97.1307 23.16573 53.9027 33.38297 113.5708 24.76275 101.1458 21.95305 102.1876 21.252975
motorcycle 65.8942 486.45044 66.2827 475.30540 74.0930 512.26053 69.4500 453.94531 60.9181 496.363331
other 700.6220 11.27829 705.0495 10.87979 779.5870 11.76572 742.9111 10.52615 721.6973 10.195211
pedestrian 890.5759 481.90125 901.2114 464.33889 1004.5841 526.83767 850.3519 485.61957 894.2745 455.498905
truck 41.1911 10.53837 41.1911 10.53837 41.1911 10.53837 41.1911 10.53837 41.1911 10.538365

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.8111 20.619714 5.8714 20.526697 6.3378 20.261438 4.9150 21.855847 6.2228 20.381760
car 29.1535 191.350949 29.6853 189.563031 28.0429 207.320050 31.0115 170.907059 30.6876 190.313240
cycle 481.5755 7.835491 80.2741 26.512488 575.9572 7.626507 462.5740 7.286126 502.8871 7.720904
motorcycle 666.9385 48.456329 675.0135 48.312775 767.1850 46.178656 646.6962 45.586414 179.0410 170.804037
other 119.0076 2.061971 121.7256 2.013199 139.6161 1.905913 114.0275 1.975685 121.9915 2.113673
pedestrian 550.5713 337.132329 560.1402 329.278207 607.7352 340.920378 519.7742 314.350779 567.8089 332.585225
truck 3.0562 6.392111 3.0641 6.408709 3.1603 6.609886 2.9237 6.115045 3.1355 6.558125

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.7344 27.443927 7.9024 27.627287 8.3940 26.834642 6.5865 29.288935 8.3373 27.307756
car 32.5082 213.369697 33.4850 213.826641 31.1944 230.619526 34.6418 190.913710 34.5928 214.531824
cycle 672.5332 10.942476 112.1064 37.025908 803.5516 10.640186 646.5418 10.183850 707.0105 10.854842
motorcycle 799.8586 58.113622 820.0341 58.692342 916.7503 55.181336 777.2532 54.789542 219.5450 209.444618
other 226.1454 3.918284 232.8822 3.851599 265.0780 3.618606 216.7774 3.755969 232.7464 4.032656
pedestrian 597.3308 365.764651 614.3665 361.155112 657.4382 368.802150 565.5809 342.053923 624.5739 365.834455
truck 5.0492 10.560569 5.1051 10.677606 5.1950 10.865512 4.8586 10.162081 5.1957 10.867159

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.4240 15.697873 4.4403 15.523543 4.8452 15.489726 3.7200 16.541960 4.7062 15.414572
car 26.2902 172.557544 26.6175 169.972906 25.3390 187.330704 27.9176 153.856104 27.4306 170.114090
cycle 345.0640 5.614376 57.5179 18.996716 413.0637 5.469561 331.1787 5.216483 358.2080 5.499622
motorcycle 564.0671 40.982223 566.9523 40.578510 650.5333 39.157117 545.9790 38.486732 149.4635 142.587285
other 62.6844 1.086095 63.8209 1.055523 73.5955 1.004660 60.0363 1.040213 64.0133 1.109120
pedestrian 509.3740 311.905947 515.4810 303.025309 563.6463 316.187865 479.5418 290.018889 519.6260 304.362848
truck 2.0418 4.270611 2.0348 4.255937 2.1158 4.425213 1.9497 4.077874 2.0833 4.357261

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.4134 11.15312 1.4204 10.84572 1.4796 10.74345 1.2568 13.15114 1.5039 10.18135
car 18.7031 184.58418 18.7498 181.50208 17.3976 207.08422 19.2884 168.33096 19.7923 169.33899
cycle 139.8386 151.68246 96.4138 197.67219 156.9732 150.49618 147.5391 139.35280 145.6671 142.49124
motorcycle 128.5640 1131.48427 129.8180 1096.32679 137.6120 1115.14628 138.0060 1019.70703 108.0731 1290.74252
pedestrian 648.3561 1297.10814 656.2593 1254.46983 696.5146 1310.45187 629.7711 1250.27549 665.0007 1230.93892
truck 23.2668 74.16826 23.1362 73.75176 23.6183 75.28887 22.9894 73.28384 23.0891 73.60163

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.8174 22.23115 2.8313 21.61832 2.9491 21.41444 2.5050 26.21165 2.9980 20.29590
car 22.1940 219.03561 22.2472 215.35705 20.6225 245.47069 22.9065 199.90558 23.5104 201.14968
cycle 161.6798 175.37353 111.4650 228.53096 181.3747 173.89078 170.6428 161.17454 168.5393 164.86474
motorcycle 139.2481 1225.51450 140.5994 1187.37730 148.9420 1206.95933 149.5498 1105.00225 117.1332 1398.94962
pedestrian 700.2656 1400.95880 708.7154 1354.74209 751.2294 1413.39452 680.7224 1351.42835 719.1769 1331.22095
truck 30.4257 96.98901 30.2477 96.42132 30.9002 98.50135 30.0505 95.79269 30.1877 96.23013

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.7091 5.595415 0.7126 5.44122 0.7423 5.389919 0.6306 6.598325 0.7544 5.107447
car 15.7778 155.713404 15.8187 153.12793 14.6919 174.877711 16.2591 141.893394 16.6800 142.710979
cycle 120.9578 131.202467 83.4016 170.99408 135.8653 130.259184 127.5737 120.495202 125.9098 123.164634
motorcycle 118.7305 1044.939901 119.8943 1012.52017 127.1763 1030.580504 127.3863 941.239202 99.7403 1191.222039
pedestrian 601.6207 1203.608696 609.0263 1164.18193 647.1329 1217.542940 583.9468 1159.301114 616.2608 1140.719777
truck 17.8109 56.776211 17.7150 56.47062 18.0713 57.606496 17.6058 56.122368 17.6782 56.353229

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.8503 5.018905 2.8765 4.839686 2.9758 4.685498 2.7100 5.698873 2.9499 4.500751
car 106.8835 12.045372 108.2853 11.480120 73.2147 34.491800 115.1461 9.483404 114.4463 10.525326
cycle 238.5651 23.756151 137.3430 33.866300 325.6879 29.835948 255.5727 19.638803 265.6058 23.380078
motorcycle 209.3951 175.661678 210.9387 169.731310 260.9089 197.726744 230.5731 140.724767 175.5540 224.644360
other 24.2482 3.011343 23.9879 2.949379 31.2979 3.453672 28.0161 2.409523 30.6580 2.506040
pedestrian 527.7796 173.988709 533.9388 165.218333 701.9956 220.675531 483.0859 159.123576 566.1151 175.269475
truck 263.0445 10.706998 262.1569 10.670868 276.0972 11.238298 259.5223 10.563630 263.7144 10.734265

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 6.4433 11.345399 6.5000 10.93642 7.1012 11.181115 5.9834 12.582470 6.7472 10.294415
car 179.3138 20.208006 181.6888 19.26216 121.5874 57.280390 193.4302 15.930862 192.4774 17.701637
cycle 318.5039 31.716396 183.3420 45.20883 435.8077 39.923915 341.3749 26.232044 354.2815 31.185794
motorcycle 245.2862 205.770748 247.0368 198.77755 306.7496 232.466625 270.0914 164.843777 205.4539 262.905218
other 50.6397 6.288865 50.0929 6.15906 65.4006 7.216855 58.5039 5.031633 64.0211 5.233208
pedestrian 627.1530 206.748319 634.3546 196.29028 835.0884 262.513862 575.1422 189.445977 671.1891 207.800432
truck 445.7985 18.145843 443.1411 18.03767 484.8819 19.736699 435.2810 17.717734 447.7768 18.226367

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.5080 2.655218 1.5219 2.560643 1.5507 2.441688 1.4427 3.033869 1.5557 2.373499
car 63.8614 7.196948 64.6907 6.858335 44.1794 20.813116 68.7094 5.658890 68.2135 6.273413
cycle 178.7131 17.796130 102.8983 25.372858 243.4209 22.299546 191.3648 14.704917 199.1492 17.530201
motorcycle 178.8532 150.040033 180.2130 145.007944 222.0340 168.265889 196.9528 120.205439 150.0809 192.048129
other 11.6113 1.441989 11.4874 1.412409 14.9782 1.652821 13.4166 1.153900 14.6817 1.200110
pedestrian 449.1512 148.067924 454.4891 140.633961 595.1506 187.088332 410.7538 135.298135 482.5657 149.402549
truck 163.4931 6.654847 163.1967 6.642779 167.8524 6.832286 162.3136 6.606836 163.7200 6.664079

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 690.5651 86.27218 705.9640 82.99999 828.0485 86.13214 599.6044 94.39270 762.4616 75.46018
car 396.8073 22.70320 413.6442 21.90808 342.3706 34.52146 452.7251 19.66841 438.6453 20.09511
motorcycle 2321.6701 345.08870 2366.9818 331.48879 2727.3257 353.30962 2557.8662 301.06704 1934.8739 371.96958
pedestrian 3233.2069 172.54435 3271.1298 166.24560 3759.5614 189.73331 3181.5905 168.10557 3219.7458 161.18068
truck 1844.9583 31.78449 1844.9583 31.78449 1844.9583 31.78449 1844.9583 31.78449 1844.9583 31.78449

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1500.996 187.51923 1531.899 180.10490 1758.852 182.95271 1317.055 207.33729 1655.774 163.87061
car 1543.797 88.32783 1605.911 85.05482 1384.529 139.60303 1732.772 75.27936 1696.640 77.72604
motorcycle 3574.966 531.37626 3643.947 510.32393 4197.521 543.76515 3943.249 464.12998 2973.718 571.68207
pedestrian 5668.250 302.49366 5728.208 291.11940 6512.997 328.69058 5553.266 293.41770 5693.066 284.99527
truck 3929.003 67.68789 3929.003 67.68789 3929.003 67.68789 3929.003 67.68789 3929.003 67.68789

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 368.8576 46.08132 377.4207 44.373250 445.1041 46.29895 319.8436 50.351374 406.9743 40.277908
car 118.7613 6.79489 123.9972 6.567335 100.0467 10.08778 136.8907 5.947145 131.7156 6.034124
motorcycle 1569.3812 233.26989 1600.9021 224.201601 1840.3594 238.40815 1727.4349 203.323264 1311.4455 252.118673
pedestrian 1949.2882 104.02634 1974.3318 100.339639 2279.8207 115.05542 1921.3056 101.515952 1934.8207 96.857247
truck 866.3448 14.92517 866.3448 14.925175 866.3448 14.92517 866.3448 14.925175 866.3448 14.925175

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 14.0039 154.38179 14.1958 152.71453 15.0973 155.45134 13.7669 165.14912 14.4777 150.23723
car 62.5424 317.84486 63.1220 315.33353 53.0480 321.02171 66.9423 281.77795 63.7080 304.48329
motorcycle 516.5640 731.04317 525.0150 726.46584 541.8368 720.27261 540.6154 668.19384 478.4128 1197.10756
pedestrian 1175.3608 2075.07285 1212.2525 2010.84926 1251.5836 2076.91525 1162.0906 1990.53719 1195.6573 2007.98192
truck 33.1606 54.48769 33.1622 54.48348 33.1606 54.48769 33.1606 54.48769 33.1536 54.43725

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 25.7450 283.8179 26.0668 280.4192 27.5128 283.2889 25.3280 303.8374 26.5991 276.0230
car 115.6352 587.6667 116.5941 582.4602 100.7228 609.5272 122.8311 517.0285 117.9075 563.5220
motorcycle 756.4764 1070.5680 768.6303 1063.5576 791.9905 1052.8061 792.0224 978.9298 702.3876 1757.5482
pedestrian 1613.8144 2849.1526 1664.9227 2761.7254 1716.3166 2848.1071 1595.6727 2733.2170 1648.2607 2768.0823
truck 126.5474 207.9361 126.5418 207.9005 126.5474 207.9361 126.5474 207.9361 126.5478 207.7881

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 8.6491 95.34927 8.7695 94.33916 9.3452 96.22392 8.4998 101.96463 8.9277 92.64355
car 38.1318 193.78881 38.5105 192.38396 31.8806 192.92641 40.9926 172.54854 38.7771 185.32977
motorcycle 367.8489 520.58106 373.8837 517.34476 386.1333 513.29346 384.7735 475.57519 339.9138 850.54875
pedestrian 865.5634 1528.13257 892.5929 1480.60728 922.5629 1530.92848 855.6974 1465.71839 877.8360 1474.23416
truck 9.3559 15.37315 9.3568 15.37272 9.3559 15.37315 9.3559 15.37315 9.3521 15.35597

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 28.3710 2.724385 27.8306 2.581259 32.1000 2.533616 23.3694 2.899038 33.0758 2.670608
motorcycle 771.4883 55.395818 782.7233 51.066297 840.4828 51.365137 786.6377 48.281449 659.8060 70.580943
pedestrian 1573.8170 39.957639 1537.5073 37.154152 1679.6529 39.684908 1447.9290 37.705886 1742.0633 40.726470
truck 217.6177 4.540641 214.5243 4.476095 219.1893 4.573431 211.7139 4.417456 221.2552 4.616538

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 99.9354 9.596495 98.1359 9.102003 113.0395 8.92209 82.5733 10.24344 116.2107 9.383082
motorcycle 1343.7159 96.483957 1362.1972 88.872235 1463.1072 89.41611 1371.5620 84.18234 1147.7201 122.774215
pedestrian 2825.5402 71.737639 2766.2398 66.846703 3010.3382 71.12481 2615.4136 68.10865 3112.0512 72.754450
truck 824.4977 17.203322 810.8879 16.919351 831.3891 17.34711 798.7498 16.66609 840.1057 17.528986

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 8.0821 0.7761045 7.9205 0.7346138 9.1460 0.7218815 6.6384 0.8235105 9.4453 0.7626336
motorcycle 449.6992 32.2901307 456.7207 29.7972936 490.0008 29.9458365 458.2351 28.1250898 385.1848 41.2040900
pedestrian 884.9621 22.4683018 862.9446 20.8532174 946.1136 22.3536841 809.4497 21.0790840 984.1763 23.0083623
truck 58.5986 1.2226727 57.8953 1.2079973 58.9574 1.2301583 57.2445 1.1944196 59.4457 1.2403463

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.60 0.58 0.54 0.68 0.57 2.97
car 4.21 4.11 4.45 3.73 3.96 20.46
cycle 0.10 0.25 0.10 0.09 0.09 0.63
motorcycle 0.90 0.85 0.87 0.86 3.17 6.65
pedestrian 2.01 1.90 2.03 2.01 1.89 9.84
truck 1.00 1.00 1.01 1.00 1.00 5.01
Total 8.82 8.69 9.00 8.37 10.68 45.56

[1] “ub”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.99 1.93 1.80 2.26 1.87 9.85
car 12.41 12.10 13.07 11.06 11.66 60.30
cycle 0.95 2.58 0.94 0.84 0.88 6.19
motorcycle 3.69 3.50 3.56 3.48 12.23 26.46
pedestrian 7.34 6.96 7.42 7.37 6.93 36.02
truck 3.76 3.74 3.79 3.69 3.72 18.70
Total 30.14 30.81 30.58 28.70 37.29 157.52

[1] “lb”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.19 0.18 0.17 0.21 0.17 0.92
car 1.54 1.50 1.63 1.36 1.45 7.48
cycle 0.01 0.03 0.01 0.01 0.01 0.07
motorcycle 0.24 0.23 0.23 0.23 0.86 1.79
pedestrian 0.62 0.58 0.63 0.62 0.58 3.03
truck 0.31 0.31 0.31 0.31 0.31 1.55
Total 2.91 2.83 2.98 2.74 3.38 14.84

[1] “arica” [1] NA

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.34 0.33 0.29 0.41 0.30 1.67
car 6.84 6.58 7.21 6.05 6.32 33.00
cycle 0.86 1.44 0.85 0.78 0.78 4.71
motorcycle 1.54 1.46 1.45 1.48 5.78 11.71
pedestrian 7.01 6.69 7.00 6.84 6.58 34.12
truck 1.88 1.88 1.88 1.87 1.87 9.38
Total 18.47 18.38 18.68 17.43 21.63 94.59

[1] “ub”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.58 2.47 2.21 3.09 2.29 12.64
car 11.24 10.82 11.79 10.04 10.39 54.28
cycle 2.31 3.88 2.27 2.12 2.12 12.70
motorcycle 4.14 3.92 3.91 3.98 15.13 31.08
pedestrian 12.76 12.19 12.60 12.71 12.02 62.28
truck 4.54 4.51 4.56 4.48 4.47 22.56
Total 37.57 37.79 37.34 36.42 46.42 195.54

[1] “lb”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.05 0.04 0.04 0.05 0.04 0.22
car 4.34 4.17 4.59 3.81 4.01 20.92
cycle 0.32 0.54 0.32 0.29 0.29 1.76
motorcycle 0.58 0.55 0.55 0.56 2.23 4.47
pedestrian 4.23 4.02 4.25 4.06 3.96 20.52
truck 0.93 0.93 0.93 0.93 0.93 4.65
Total 10.45 10.25 10.68 9.70 11.46 52.54

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.16 0.13 0.67
car 2.47 2.41 2.72 2.24 2.38 12.22
cycle 0.39 1.19 0.36 0.37 0.39 2.70
motorcycle 3.44 3.40 3.22 3.22 4.38 17.66
other 1.36 1.33 1.23 1.20 1.29 6.41
pedestrian 4.39 4.25 4.24 4.47 4.48 21.83
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.19 0.19 0.19 0.19 0.19 0.95
Total 12.37 12.90 12.08 11.85 13.24 62.44

[1] “ub”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.22 0.22 0.21 0.26 0.22 1.13
car 2.80 2.74 3.09 2.55 2.70 13.88
cycle 0.54 1.61 0.49 0.51 0.53 3.68
motorcycle 3.91 3.88 3.66 3.65 4.97 20.07
other 1.56 1.53 1.41 1.38 1.49 7.37
pedestrian 4.91 4.79 4.73 5.00 5.02 24.45
rail 0.03 0.03 0.03 0.03 0.03 0.15
truck 0.29 0.29 0.29 0.29 0.30 1.46
Total 14.26 15.09 13.91 13.67 15.26 72.19

[1] “lb”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.08 0.10 0.08 0.42
car 2.18 2.13 2.41 1.98 2.10 10.80
cycle 0.29 0.88 0.26 0.27 0.28 1.98
motorcycle 3.05 3.00 2.85 2.85 3.88 15.63
other 1.19 1.16 1.07 1.05 1.13 5.60
pedestrian 3.94 3.80 3.81 4.02 4.02 19.59
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.12 0.12 0.12 0.12 0.12 0.60
Total 10.85 11.17 10.60 10.39 11.61 54.62

[1] “bogota” [1] NA

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.14 0.14 0.16 0.14 0.72
car 0.41 0.40 0.45 0.36 0.39 2.01
cycle 1.24 1.46 1.21 1.14 1.23 6.28
motorcycle 3.85 3.81 3.76 3.43 4.34 19.19
pedestrian 3.29 3.18 3.22 3.22 3.30 16.21
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 8.96 9.02 8.81 8.34 9.43 44.56

[1] “ub”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.25 0.29 0.25 1.30
car 0.64 0.63 0.70 0.57 0.61 3.15
cycle 1.59 1.90 1.55 1.46 1.58 8.08
motorcycle 4.87 4.82 4.75 4.33 5.54 24.31
pedestrian 4.11 3.97 4.01 4.02 4.12 20.23
truck 0.10 0.09 0.10 0.09 0.10 0.48
Total 11.57 11.66 11.36 10.76 12.20 57.55

[1] “lb”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.08 0.09 0.08 0.41
car 0.26 0.26 0.29 0.23 0.25 1.29
cycle 0.98 1.13 0.95 0.89 0.97 4.92
motorcycle 3.07 3.03 3.00 2.74 3.44 15.28
pedestrian 2.66 2.56 2.59 2.60 2.66 13.07
truck 0.01 0.01 0.01 0.01 0.01 0.05
Total 7.06 7.07 6.92 6.56 7.41 35.02

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.04 0.05 0.04 0.21
car 1.02 0.99 1.20 0.84 1.00 5.05
cycle 0.18 0.30 0.18 0.16 0.20 1.02
motorcycle 2.47 2.43 2.39 2.04 4.00 13.33
pedestrian 3.00 2.89 3.00 2.90 3.41 15.20
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 6.74 6.68 6.84 6.02 8.68 34.96

[1] “ub”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.12 0.11 0.15 0.12 0.62
car 1.40 1.37 1.64 1.16 1.39 6.96
cycle 0.39 0.66 0.38 0.35 0.42 2.20
motorcycle 3.22 3.18 3.10 2.65 5.20 17.35
pedestrian 3.80 3.69 3.78 3.68 4.33 19.28
truck 0.11 0.11 0.11 0.11 0.11 0.55
Total 9.04 9.13 9.12 8.10 11.57 46.96

[1] “lb”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.02 0.01 0.06
car 0.76 0.74 0.90 0.62 0.74 3.76
cycle 0.09 0.14 0.09 0.08 0.10 0.50
motorcycle 1.93 1.89 1.87 1.59 3.11 10.39
pedestrian 2.40 2.30 2.40 2.32 2.72 12.14
truck 0.01 0.01 0.01 0.01 0.01 0.05
Total 5.20 5.09 5.28 4.64 6.69 26.90

[1] “cali” [1] NA

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.02 0.02 0.02 0.02 0.02 0.10
car 0.75 0.73 0.86 0.69 0.71 3.74
cycle 2.04 2.83 1.98 1.87 1.99 10.71
motorcycle 10.64 10.32 10.32 9.88 11.21 52.37
other 0.02 0.02 0.02 0.02 0.02 0.10
pedestrian 6.03 5.82 5.96 5.77 5.94 29.52
Total 19.50 19.74 19.16 18.25 19.89 96.54

[1] “ub”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.15 0.15 0.14 0.19 0.14 0.77
car 1.36 1.33 1.54 1.25 1.29 6.77
cycle 3.00 4.22 2.92 2.75 2.93 15.82
motorcycle 15.23 14.83 14.74 14.09 16.08 74.97
other 0.15 0.14 0.13 0.12 0.14 0.68
pedestrian 8.22 7.95 8.10 7.87 8.08 40.22
Total 28.11 28.62 27.57 26.27 28.66 139.23

[1] “lb”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.00 0.00 0.00
car 0.42 0.41 0.49 0.39 0.40 2.11
cycle 1.42 1.96 1.38 1.30 1.39 7.45
motorcycle 7.59 7.34 7.37 7.07 7.98 37.35
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 4.46 4.29 4.41 4.26 4.40 21.82
Total 13.89 14.00 13.65 13.02 14.17 68.73

[1] “copiapo” [1] NA

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.73 0.71 0.64 0.96 0.67 3.71
car 5.38 5.22 5.58 4.80 5.04 26.02
cycle 1.22 2.59 1.19 1.19 1.32 7.51
motorcycle 2.69 2.55 2.49 2.66 9.73 20.12
pedestrian 2.69 2.58 2.64 2.74 2.91 13.56
truck 0.98 0.97 0.98 0.98 1.02 4.93
Total 13.69 14.62 13.52 13.33 20.69 75.85

[1] “ub”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.33 2.26 2.02 3.04 2.14 11.79
car 10.21 9.89 10.49 9.25 10.43 50.27
cycle 3.88 8.21 3.73 3.83 5.20 24.85
motorcycle 7.14 6.75 6.59 7.10 25.96 53.54
pedestrian 6.90 6.58 6.65 7.15 9.54 36.82
truck 4.48 4.43 4.44 4.48 5.19 23.02
Total 34.94 38.12 33.92 34.85 58.46 200.29

[1] “lb”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.23 0.22 0.20 0.30 0.21 1.16
car 3.35 3.25 3.48 2.97 3.10 16.15
cycle 0.41 0.88 0.41 0.40 0.41 2.51
motorcycle 1.02 0.97 0.95 1.00 3.68 7.62
pedestrian 1.16 1.11 1.14 1.16 1.13 5.70
truck 0.26 0.26 0.26 0.26 0.26 1.30
Total 6.43 6.69 6.44 6.09 8.79 34.44

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.51 0.49 0.46 0.58 0.47 2.51
car 5.14 4.99 5.35 4.66 4.78 24.92
cycle 0.51 1.02 0.49 0.47 0.47 2.96
motorcycle 1.94 1.89 1.84 1.75 7.69 15.11
pedestrian 3.28 3.13 3.27 3.17 3.06 15.91
truck 0.34 0.34 0.34 0.34 0.34 1.70
Total 11.72 11.86 11.75 10.97 16.81 63.11

[1] “ub”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.64 1.60 1.51 1.86 1.53 8.14
car 7.83 7.62 8.14 7.15 7.30 38.04
cycle 1.23 2.49 1.20 1.15 1.16 7.23
motorcycle 3.75 3.67 3.56 3.40 15.08 29.46
pedestrian 5.27 5.04 5.22 5.14 4.93 25.60
truck 0.92 0.92 0.92 0.92 0.92 4.60
Total 20.64 21.34 20.55 19.62 30.92 113.07

[1] “lb”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.16 0.15 0.19 0.15 0.81
car 3.45 3.35 3.60 3.12 3.21 16.73
cycle 0.21 0.42 0.20 0.19 0.19 1.21
motorcycle 1.01 0.98 0.96 0.91 3.95 7.81
pedestrian 2.09 1.99 2.08 1.99 1.94 10.09
truck 0.12 0.12 0.12 0.12 0.12 0.60
Total 7.04 7.02 7.11 6.52 9.56 37.25

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.07 0.39
car 2.49 2.44 2.67 2.23 2.36 12.19
cycle 0.08 0.16 0.08 0.07 0.07 0.46
motorcycle 1.01 1.00 0.91 0.85 4.02 7.79
other 0.04 0.04 0.04 0.04 0.04 0.20
pedestrian 2.80 2.71 2.80 2.78 2.67 13.76
truck 0.47 0.47 0.47 0.47 0.47 2.35
Total 6.97 6.90 7.04 6.53 9.70 37.14

[1] “ub”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.59 0.59 0.55 0.65 0.57 2.95
car 3.97 4.07 4.21 3.55 4.01 19.81
cycle 0.33 0.69 0.33 0.30 0.33 1.98
motorcycle 1.91 1.94 1.70 1.60 7.59 14.74
other 0.30 0.31 0.29 0.29 0.29 1.48
pedestrian 4.47 4.55 4.41 4.46 4.63 22.52
truck 0.83 0.83 0.83 0.83 0.83 4.15
Total 12.40 12.98 12.32 11.68 18.25 67.63

[1] “lb”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.01 0.01 0.05
car 1.69 1.64 1.82 1.50 1.58 8.23
cycle 0.02 0.04 0.02 0.02 0.02 0.12
motorcycle 0.55 0.54 0.49 0.46 2.18 4.22
other 0.01 0.00 0.00 0.00 0.00 0.01
pedestrian 1.93 1.84 1.94 1.90 1.80 9.41
truck 0.26 0.26 0.26 0.26 0.26 1.30
Total 4.47 4.33 4.54 4.15 5.85 23.34

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.37 0.41 0.35 0.41 0.38 1.92
car 3.87 3.92 4.01 3.50 3.71 19.01
cycle 0.37 1.08 0.36 0.36 0.38 2.55
motorcycle 1.37 1.40 1.27 1.31 5.74 11.09
pedestrian 1.75 1.84 1.72 1.76 1.78 8.85
truck 0.62 0.62 0.62 0.62 0.62 3.10
Total 8.35 9.27 8.33 7.96 12.61 46.52

[1] “ub”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.58 2.03 1.45 1.74 1.79 8.59
car 7.48 8.56 7.67 6.83 7.82 38.36
cycle 1.46 4.21 1.38 1.40 1.68 10.13
motorcycle 3.74 4.28 3.45 3.58 14.80 29.85
pedestrian 4.40 5.55 4.27 4.48 5.24 23.94
truck 1.53 1.53 1.53 1.53 1.53 7.65
Total 20.19 26.16 19.75 19.56 32.86 118.52

[1] “lb”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.10 0.10 0.09 0.11 0.09 0.49
car 2.33 2.28 2.42 2.09 2.18 11.30
cycle 0.10 0.29 0.10 0.10 0.10 0.69
motorcycle 0.54 0.53 0.50 0.51 2.33 4.41
pedestrian 0.78 0.77 0.78 0.78 0.75 3.86
truck 0.26 0.26 0.26 0.26 0.26 1.30
Total 4.11 4.23 4.15 3.85 5.71 22.05

[1] “medellin” [1] NA

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.01 0.01 0.01 0.01 0.01 0.05
bus 0.17 0.17 0.16 0.21 0.16 0.87
car 0.28 0.27 0.35 0.24 0.26 1.40
cycle 0.62 1.52 0.60 0.55 0.61 3.90
motorcycle 7.79 7.72 7.73 7.24 8.52 39.00
pedestrian 4.83 4.67 4.90 4.80 4.82 24.02
truck 0.07 0.07 0.07 0.07 0.07 0.35
Total 13.77 14.43 13.82 13.12 14.45 69.59

[1] “ub”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.09 0.09 0.08 0.07 0.09 0.42
bus 0.36 0.35 0.34 0.43 0.34 1.82
car 0.49 0.48 0.61 0.43 0.46 2.47
cycle 0.93 2.31 0.89 0.82 0.91 5.86
motorcycle 9.05 9.03 8.97 8.41 9.88 45.34
pedestrian 5.75 5.60 5.82 5.72 5.73 28.62
truck 0.22 0.22 0.22 0.22 0.22 1.10
Total 16.89 18.08 16.93 16.10 17.63 85.63

[1] “lb”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.00 0.00 0.00 0.00 0.00 0.00
bus 0.09 0.09 0.09 0.11 0.09 0.47
car 0.16 0.16 0.21 0.14 0.15 0.82
cycle 0.42 1.00 0.41 0.37 0.41 2.61
motorcycle 6.77 6.68 6.72 6.29 7.41 33.87
pedestrian 4.09 3.94 4.15 4.06 4.09 20.33
truck 0.02 0.02 0.02 0.02 0.02 0.10
Total 11.55 11.89 11.60 10.99 12.17 58.20

[1] “mexico_city” [1] NA

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.16 0.15 0.19 0.16 0.82
car 4.28 4.21 4.67 3.77 4.48 21.41
cycle 0.48 1.09 0.46 0.44 0.57 3.04
motorcycle 1.52 1.52 1.46 1.36 3.11 8.97
other 0.72 0.71 0.70 0.65 0.88 3.66
pedestrian 7.46 7.29 7.29 7.36 9.28 38.68
truck 0.14 0.14 0.14 0.14 0.14 0.70
Total 14.76 15.12 14.87 13.91 18.62 77.28

[1] “ub”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.40 0.39 0.38 0.45 0.42 2.04
car 5.11 5.06 5.56 4.51 5.40 25.64
cycle 0.80 1.92 0.76 0.73 0.93 5.14
motorcycle 2.08 2.10 1.99 1.85 4.30 12.32
other 1.10 1.09 1.07 0.99 1.31 5.56
pedestrian 8.84 8.76 8.63 8.73 11.00 45.96
truck 0.27 0.27 0.27 0.27 0.27 1.35
Total 18.60 19.59 18.66 17.53 23.63 98.01

[1] “lb”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.08 0.10 0.08 0.42
car 3.61 3.54 3.94 3.17 3.75 18.01
cycle 0.30 0.64 0.29 0.27 0.36 1.86
motorcycle 1.12 1.11 1.08 1.00 2.28 6.59
other 0.50 0.49 0.49 0.45 0.61 2.54
pedestrian 6.34 6.15 6.21 6.26 7.88 32.84
truck 0.07 0.07 0.07 0.07 0.07 0.35
Total 12.02 12.08 12.16 11.32 15.03 62.61

[1] “montevideo” [1] NA

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.03 0.03 0.04 0.03 0.17
car 1.45 1.41 1.62 1.26 1.38 7.12
cycle 0.46 0.95 0.45 0.42 0.45 2.73
motorcycle 4.81 4.65 4.72 4.08 6.41 24.67
pedestrian 1.95 1.86 1.95 1.88 1.91 9.55
truck 0.11 0.11 0.11 0.11 0.11 0.55
Total 8.82 9.01 8.88 7.79 10.29 44.79

[1] “ub”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.24 0.30 0.24 1.29
car 2.45 2.39 2.73 2.14 2.35 12.06
cycle 1.07 2.32 1.04 0.98 1.04 6.45
motorcycle 6.90 6.66 6.73 5.88 9.18 35.35
pedestrian 3.00 2.85 2.97 2.90 2.99 14.71
truck 0.34 0.34 0.34 0.34 0.34 1.70
Total 14.02 14.81 14.05 12.54 16.14 71.56

[1] “lb”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.01 0.00 0.01
car 0.88 0.86 0.99 0.77 0.84 4.34
cycle 0.21 0.41 0.21 0.19 0.20 1.22
motorcycle 3.47 3.35 3.41 2.93 4.61 17.77
pedestrian 1.30 1.24 1.32 1.26 1.27 6.39
truck 0.03 0.03 0.03 0.03 0.03 0.15
Total 5.89 5.89 5.96 5.19 6.95 29.88

[1] “osorno” [1] NA

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 7.87 7.64 8.25 7.14 7.36 38.26
cycle 0.23 0.40 0.22 0.21 0.22 1.28
motorcycle 1.16 1.10 1.11 1.11 4.29 8.77
pedestrian 5.79 5.54 5.74 5.75 5.43 28.25
truck 1.62 1.62 1.62 1.62 1.62 8.10
Total 16.67 16.30 16.94 15.83 18.92 84.66

[1] “ub”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 13.86 13.46 14.48 12.66 12.96 67.42
cycle 1.84 3.18 1.78 1.70 1.73 10.23
motorcycle 4.41 4.18 4.22 4.23 16.66 33.70
pedestrian 11.27 10.79 11.12 11.30 10.59 55.07
truck 3.45 3.45 3.45 3.45 3.45 17.25
Total 34.83 35.06 35.05 33.34 45.39 183.67

[1] “lb”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 4.68 4.54 4.92 4.22 4.37 22.73
cycle 0.03 0.05 0.03 0.03 0.03 0.17
motorcycle 0.31 0.29 0.29 0.29 1.11 2.29
pedestrian 3.05 2.91 3.04 3.00 2.85 14.85
truck 0.76 0.76 0.76 0.76 0.76 3.80
Total 8.83 8.55 9.04 8.30 9.12 43.84

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.30 0.29 0.28 0.32 0.28 1.47
car 4.50 4.39 4.67 4.16 4.28 22.00
cycle 0.30 0.85 0.28 0.29 0.29 2.01
motorcycle 0.60 0.57 0.57 0.56 3.49 5.79
pedestrian 8.10 7.74 7.95 8.06 7.67 39.52
truck 1.05 1.05 1.05 1.05 1.05 5.25
Total 14.85 14.89 14.80 14.44 17.06 76.04

[1] “ub”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.27 2.22 2.12 2.45 2.12 11.18
car 8.01 7.81 8.28 7.44 7.61 39.15
cycle 1.31 3.70 1.24 1.26 1.26 8.77
motorcycle 2.66 2.54 2.51 2.50 17.94 28.15
pedestrian 13.88 13.27 13.52 13.95 13.17 67.79
truck 2.24 2.24 2.24 2.24 2.24 11.20
Total 30.37 31.78 29.91 29.84 44.34 166.24

[1] “lb”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.04 0.04 0.04 0.20
car 2.62 2.55 2.73 2.41 2.49 12.80
cycle 0.07 0.20 0.07 0.07 0.07 0.48
motorcycle 0.15 0.14 0.14 0.14 0.78 1.35
pedestrian 5.09 4.86 5.03 5.02 4.81 24.81
truck 0.49 0.49 0.49 0.49 0.49 2.45
Total 8.46 8.28 8.50 8.17 8.68 42.09

[1] “san_antonio” [1] NA

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 5.63 5.45 5.50 5.28 5.53 27.39
cycle 0.45 1.29 0.43 0.46 0.48 3.11
motorcycle 0.39 0.37 0.31 0.37 1.93 3.37
other 0.41 0.41 0.19 0.36 0.46 1.83
pedestrian 3.76 3.63 3.50 4.09 3.90 18.88
truck 2.39 2.39 2.39 2.39 2.39 11.95
Total 13.03 13.54 12.32 12.95 14.69 66.53

[1] “ub”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 35.94 34.77 34.46 33.60 38.12 176.89
cycle 7.08 19.64 6.44 7.01 8.10 48.27
motorcycle 4.68 4.39 3.63 4.44 24.87 42.01
other 5.42 5.31 3.03 4.55 6.16 24.47
pedestrian 27.76 26.73 25.39 30.29 31.32 141.49
truck 12.01 12.01 12.01 12.01 12.01 60.05
Total 92.89 102.85 84.96 91.90 120.58 493.18

[1] “lb”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 0.99 0.96 0.98 0.93 0.93 4.79
cycle 0.03 0.09 0.03 0.03 0.03 0.21
motorcycle 0.03 0.03 0.03 0.03 0.16 0.28
other 0.04 0.03 0.01 0.03 0.04 0.15
pedestrian 0.60 0.58 0.56 0.64 0.59 2.97
truck 0.50 0.50 0.50 0.50 0.50 2.50
Total 2.19 2.19 2.11 2.16 2.25 10.90

[1] “santiago” [1] NA

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.16 0.15 0.17 0.15 0.79
car 2.15 2.10 2.41 1.93 2.07 10.66
cycle 0.85 1.29 0.83 0.79 0.82 4.58
motorcycle 1.30 1.28 1.27 1.16 2.42 7.43
other 0.08 0.07 0.07 0.07 0.07 0.36
pedestrian 3.66 3.53 3.68 3.69 3.55 18.11
truck 0.23 0.23 0.23 0.23 0.23 1.15
Total 8.43 8.66 8.64 8.04 9.31 43.08

[1] “ub”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.31 0.30 0.30 0.34 0.30 1.55
car 2.63 2.57 2.93 2.37 2.54 13.04
cycle 1.15 1.78 1.12 1.07 1.12 6.24
motorcycle 1.69 1.67 1.66 1.52 3.16 9.70
other 0.15 0.15 0.15 0.15 0.15 0.75
pedestrian 4.43 4.29 4.43 4.47 4.33 21.95
truck 0.40 0.40 0.41 0.40 0.40 2.01
Total 10.76 11.16 11.00 10.32 12.00 55.24

[1] “lb”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.08 0.09 0.08 0.41
car 1.79 1.74 2.00 1.60 1.72 8.85
cycle 0.64 0.96 0.63 0.60 0.61 3.44
motorcycle 1.01 0.99 0.99 0.90 1.87 5.76
other 0.04 0.04 0.04 0.04 0.04 0.20
pedestrian 3.09 2.98 3.11 3.12 2.98 15.28
truck 0.13 0.13 0.13 0.13 0.13 0.65
Total 6.78 6.92 6.98 6.48 7.43 34.59

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.12 0.11 0.13 0.12 0.60
car 2.04 1.98 2.33 1.77 2.03 10.15
cycle 0.47 1.47 0.45 0.43 0.50 3.32
motorcycle 5.27 5.15 5.03 4.49 9.87 29.81
other 0.02 0.02 0.02 0.02 0.02 0.10
pedestrian 4.86 4.67 4.85 4.74 5.30 24.42
truck 0.18 0.18 0.18 0.18 0.19 0.91
Total 12.96 13.59 12.97 11.76 18.03 69.31

[1] “ub”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.18 0.18 0.17 0.20 0.18 0.91
car 2.26 2.20 2.58 1.96 2.25 11.25
cycle 0.58 1.85 0.55 0.53 0.61 4.12
motorcycle 5.69 5.58 5.43 4.85 10.64 32.19
other 0.04 0.04 0.04 0.03 0.04 0.19
pedestrian 5.27 5.09 5.26 5.15 5.77 26.54
truck 0.25 0.25 0.26 0.25 0.26 1.27
Total 14.27 15.19 14.29 12.97 19.75 76.47

[1] “lb”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.08 0.40
car 1.85 1.79 2.11 1.60 1.83 9.18
cycle 0.38 1.17 0.36 0.35 0.40 2.66
motorcycle 4.89 4.77 4.67 4.17 9.17 27.67
other 0.01 0.01 0.01 0.01 0.01 0.05
pedestrian 4.49 4.31 4.49 4.38 4.88 22.55
truck 0.13 0.13 0.13 0.13 0.14 0.66
Total 11.83 12.26 11.84 10.73 16.51 63.17

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 3.61 3.51 3.86 3.09 3.38 17.45
cycle 0.93 1.01 0.90 0.83 0.88 4.55
motorcycle 0.82 0.80 0.79 0.70 2.60 5.71
pedestrian 4.12 3.90 4.17 4.13 3.90 20.22
truck 0.21 0.21 0.21 0.21 0.21 1.05
Total 9.69 9.43 9.93 8.96 10.97 48.98

[1] “ub”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 11.96 11.63 12.80 10.31 11.21 57.91
cycle 2.98 3.30 2.89 2.67 2.81 14.65
motorcycle 3.40 3.29 3.26 2.85 11.09 23.89
pedestrian 12.57 11.92 12.61 12.72 11.91 61.73
truck 1.21 1.21 1.21 1.21 1.21 6.05
Total 32.12 31.35 32.77 29.76 38.23 164.23

[1] “lb”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 1.16 1.12 1.24 0.99 1.08 5.59
cycle 0.30 0.33 0.30 0.27 0.29 1.49
motorcycle 0.21 0.20 0.20 0.18 0.64 1.43
pedestrian 1.49 1.41 1.52 1.48 1.41 7.31
truck 0.04 0.04 0.04 0.04 0.04 0.20
Total 3.20 3.10 3.30 2.96 3.46 16.02

[1] “valdivia” [1] NA

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.42 0.40 0.36 0.49 0.38 2.05
car 3.06 2.98 3.18 2.71 2.88 14.81
cycle 0.91 1.25 0.86 0.86 0.86 4.74
motorcycle 0.64 0.59 0.62 0.63 1.96 4.44
pedestrian 1.88 1.81 1.79 1.99 1.81 9.28
Total 6.91 7.03 6.81 6.68 7.89 35.32

[1] “ub”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.24 3.11 2.79 3.97 2.97 16.08
car 18.67 18.14 19.24 16.59 17.57 90.21
cycle 7.05 10.77 6.63 6.67 6.65 37.77
motorcycle 5.92 5.44 5.73 5.69 19.36 42.14
pedestrian 10.20 9.80 9.68 10.77 9.78 50.23
Total 45.08 47.26 44.07 43.69 56.33 236.43

[1] “lb”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.06 0.06 0.07 0.06 0.32
car 0.56 0.55 0.59 0.50 0.53 2.73
cycle 0.13 0.17 0.13 0.13 0.13 0.69
motorcycle 0.09 0.08 0.08 0.08 0.25 0.58
pedestrian 0.37 0.36 0.35 0.40 0.36 1.84
Total 1.22 1.22 1.21 1.18 1.33 6.16

[1] “accra” [1] NA

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.50 2.45 2.41 2.67 2.41 12.44
car 5.41 5.25 6.08 4.34 5.32 26.40
cycle 1.99 4.15 2.01 1.64 1.98 11.77
motorcycle 5.60 5.55 5.40 4.38 10.57 31.50
pedestrian 27.27 26.05 27.86 24.49 27.28 132.95
truck 1.19 1.19 1.20 1.18 1.20 5.96
Total 43.96 44.64 44.96 38.70 48.76 221.02

[1] “ub”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.61 3.56 3.49 3.84 3.49 17.99
car 7.07 6.95 7.94 5.68 7.00 34.64
cycle 2.71 5.65 2.73 2.24 2.71 16.04
motorcycle 7.26 7.27 6.97 5.68 13.83 41.01
pedestrian 31.65 30.63 32.19 28.51 31.99 154.97
truck 1.97 1.96 1.99 1.93 1.99 9.84
Total 54.27 56.02 55.31 47.88 61.01 274.49

[1] “lb”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.75 1.71 1.68 1.87 1.67 8.68
car 4.17 4.04 4.70 3.34 4.08 20.33
cycle 1.46 3.05 1.48 1.21 1.45 8.65
motorcycle 4.37 4.32 4.22 3.41 8.17 24.49
pedestrian 23.85 22.73 24.45 21.37 23.62 116.02
truck 0.76 0.76 0.76 0.75 0.76 3.79
Total 36.36 36.61 37.29 31.95 39.75 181.96

[1] “bangalore” [1] NA

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.37 0.36 0.36 0.43 0.32 1.84
car 0.76 0.75 1.12 0.71 0.68 4.02
cycle 0.58 0.84 0.62 0.55 0.53 3.12
motorcycle 9.16 8.96 9.63 8.55 9.35 45.65
other 0.37 0.35 0.38 0.34 0.33 1.77
pedestrian 9.04 8.72 9.87 9.11 8.54 45.28
truck 0.31 0.31 0.31 0.31 0.31 1.55
Total 20.59 20.29 22.29 20.00 20.06 103.23

[1] “ub”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.83 0.81 0.82 0.96 0.73 4.15
car 1.37 1.35 2.03 1.27 1.21 7.23
cycle 0.95 1.36 1.01 0.90 0.87 5.09
motorcycle 11.35 11.16 11.90 10.60 11.58 56.59
other 0.84 0.81 0.86 0.78 0.76 4.05
pedestrian 11.12 10.80 12.11 11.22 10.50 55.75
truck 0.57 0.57 0.57 0.57 0.57 2.85
Total 27.03 26.86 29.30 26.30 26.22 135.71

[1] “lb”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.17 0.17 0.16 0.20 0.15 0.85
car 0.43 0.42 0.63 0.40 0.38 2.26
cycle 0.36 0.51 0.38 0.34 0.33 1.92
motorcycle 7.49 7.32 7.88 6.99 7.64 37.32
other 0.17 0.17 0.18 0.16 0.16 0.84
pedestrian 7.42 7.15 8.11 7.47 7.01 37.16
truck 0.16 0.16 0.16 0.16 0.16 0.80
Total 16.20 15.90 17.50 15.72 15.83 81.15

[1] “cape_town” [1] NA

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.77 0.77 0.76 0.82 0.76 3.88
car 7.14 7.07 7.74 6.38 7.10 35.43
cycle 0.29 0.99 0.28 0.27 0.29 2.12
motorcycle 1.81 1.80 1.72 1.70 6.37 13.40
other 0.08 0.08 0.07 0.07 0.08 0.38
pedestrian 12.58 12.29 12.72 11.73 12.41 61.73
truck 0.24 0.24 0.25 0.23 0.24 1.20
Total 22.91 23.24 23.54 21.20 27.25 118.14

[1] “ub”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.02 1.03 1.00 1.09 1.02 5.16
car 7.96 7.98 8.61 7.13 8.01 39.69
cycle 0.41 1.38 0.40 0.38 0.41 2.98
motorcycle 2.17 2.19 2.06 2.04 7.82 16.28
other 0.15 0.14 0.14 0.14 0.15 0.72
pedestrian 13.65 13.48 13.76 12.77 13.65 67.31
truck 0.39 0.40 0.41 0.38 0.41 1.99
Total 25.75 26.60 26.38 23.93 31.47 134.13

[1] “lb”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.59 0.58 0.58 0.62 0.58 2.95
car 6.44 6.34 6.99 5.74 6.35 31.86
cycle 0.21 0.71 0.20 0.19 0.21 1.52
motorcycle 1.53 1.51 1.46 1.44 5.32 11.26
other 0.04 0.04 0.04 0.04 0.04 0.20
pedestrian 11.64 11.31 11.80 10.82 11.36 56.93
truck 0.16 0.16 0.17 0.15 0.16 0.80
Total 20.61 20.65 21.24 19.00 24.02 105.52

[1] “delhi” [1] NA

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.09 0.09 0.09 0.11 0.09 0.47
car 1.56 1.54 1.75 1.43 1.43 7.71
cycle 1.29 1.67 1.28 1.18 1.21 6.63
motorcycle 9.59 9.29 9.45 8.64 10.94 47.91
pedestrian 10.99 10.63 11.10 10.59 10.43 53.74
truck 0.63 0.62 0.64 0.62 0.62 3.13
Total 24.15 23.84 24.31 22.57 24.72 119.59

[1] “ub”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.19 0.18 0.18 0.22 0.17 0.94
car 1.86 1.82 2.08 1.69 1.70 9.15
cycle 1.49 1.94 1.47 1.37 1.40 7.67
motorcycle 10.38 10.06 10.23 9.36 11.85 51.88
pedestrian 11.87 11.48 11.97 11.45 11.28 58.05
truck 0.82 0.82 0.83 0.81 0.82 4.10
Total 26.61 26.30 26.76 24.90 27.22 131.79

[1] “lb”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.05 0.05 0.05 0.06 0.04 0.25
car 1.32 1.30 1.48 1.20 1.21 6.51
cycle 1.11 1.45 1.10 1.02 1.04 5.72
motorcycle 8.85 8.58 8.73 7.97 10.09 44.22
pedestrian 10.20 9.86 10.32 9.82 9.66 49.86
truck 0.48 0.48 0.49 0.48 0.48 2.41
Total 22.01 21.72 22.17 20.55 22.52 108.97

[1] “vizag” [1] NA

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.39 0.38 0.36 0.44 0.35 1.92
car 0.94 0.89 2.68 0.74 0.82 6.07
cycle 1.85 2.63 2.32 1.53 1.82 10.15
motorcycle 13.65 13.18 15.36 10.93 17.45 70.57
other 0.23 0.23 0.27 0.19 0.19 1.11
pedestrian 13.52 12.83 17.14 12.36 13.61 69.46
truck 0.83 0.83 0.87 0.82 0.83 4.18
Total 31.41 30.97 39.00 27.01 35.07 163.46

[1] “ub”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.88 0.85 0.87 0.98 0.80 4.38
car 1.57 1.50 4.45 1.24 1.38 10.14
cycle 2.46 3.51 3.10 2.04 2.42 13.53
motorcycle 15.98 15.44 18.06 12.81 20.42 82.71
other 0.49 0.48 0.56 0.39 0.41 2.33
pedestrian 16.06 15.25 20.39 14.72 16.14 82.56
truck 1.41 1.40 1.53 1.38 1.42 7.14
Total 38.85 38.43 48.96 33.56 42.99 202.79

[1] “lb”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.21 0.20 0.19 0.24 0.18 1.02
car 0.56 0.53 1.62 0.44 0.49 3.64
cycle 1.38 1.97 1.73 1.14 1.36 7.58
motorcycle 11.66 11.26 13.07 9.34 14.92 60.25
other 0.11 0.11 0.13 0.09 0.09 0.53
pedestrian 11.50 10.92 14.53 10.51 11.61 59.07
truck 0.52 0.52 0.53 0.51 0.52 2.60
Total 25.94 25.51 31.80 22.27 29.17 134.69

[1] “kisumu” [1] NA

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 37.87 36.43 37.81 41.43 33.12 186.66
car 9.97 9.62 15.15 8.63 8.82 52.19
motorcycle 151.47 145.50 155.08 132.15 163.27 747.47
pedestrian 75.74 72.97 83.28 73.79 70.75 376.53
truck 13.95 13.95 13.95 13.95 13.95 69.75
Total 289.00 278.47 305.27 269.95 289.91 1432.60

[1] “ub”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 82.31 79.06 80.31 91.01 71.93 404.62
car 38.77 37.33 61.28 33.04 34.12 204.54
motorcycle 233.24 224.00 238.68 203.73 250.93 1150.58
pedestrian 132.78 127.78 144.28 128.79 125.10 658.73
truck 29.71 29.71 29.71 29.71 29.71 148.55
Total 516.81 497.88 554.26 486.28 511.79 2567.02

[1] “lb”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 20.23 19.48 20.32 22.10 17.68 99.81
car 2.98 2.88 4.43 2.61 2.65 15.55
motorcycle 102.39 98.41 104.65 89.25 110.67 505.37
pedestrian 45.66 44.04 50.50 44.56 42.51 227.27
truck 6.55 6.55 6.55 6.55 6.55 32.75
Total 177.81 171.36 186.45 165.07 180.06 880.75

[1] “nairobi” [1] NA

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 4.76 4.71 4.79 5.09 4.63 23.98
car 9.80 9.72 9.90 8.69 9.39 47.50
motorcycle 22.53 22.39 22.20 20.60 36.90 124.62
pedestrian 63.97 61.99 64.02 61.36 61.90 313.24
truck 1.68 1.68 1.68 1.68 1.68 8.40
Total 102.74 100.49 102.59 97.42 114.50 517.74

[1] “ub”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 8.75 8.64 8.73 9.37 8.51 44.00
car 18.12 17.95 18.79 15.94 17.37 88.17
motorcycle 33.00 32.79 32.45 30.18 54.18 182.60
pedestrian 87.83 85.13 87.80 84.25 85.33 430.34
truck 6.41 6.41 6.41 6.41 6.41 32.05
Total 154.11 150.92 154.18 146.15 171.80 777.16

[1] “lb”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.94 2.91 2.97 3.14 2.86 14.82
car 5.97 5.93 5.95 5.32 5.71 28.88
motorcycle 16.05 15.95 15.82 14.66 26.22 88.70
pedestrian 47.11 45.64 47.19 45.18 45.44 230.56
truck 0.47 0.47 0.47 0.47 0.47 2.35
Total 72.54 70.90 72.40 68.77 80.70 365.31

[1] “port_louis” [1] NA

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.47 2.34 2.29 2.62 2.42 12.14
motorcycle 50.14 46.22 46.49 43.70 63.88 250.43
pedestrian 36.17 33.63 35.92 34.13 36.86 176.71
truck 4.11 4.05 4.14 4.00 4.18 20.48
Total 92.89 86.24 88.84 84.45 107.34 459.76

[1] “ub”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 8.69 8.24 8.08 9.27 8.49 42.77
motorcycle 87.33 80.44 80.93 76.20 111.13 436.03
pedestrian 64.93 60.50 64.38 61.65 65.85 317.31
truck 15.57 15.31 15.70 15.08 15.87 77.53
Total 176.52 164.49 169.09 162.20 201.34 873.64

[1] “lb”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.70 0.66 0.65 0.75 0.69 3.45
motorcycle 29.23 26.97 27.10 25.46 37.29 146.05
pedestrian 20.34 18.87 20.23 19.08 20.83 99.35
truck 1.11 1.09 1.11 1.08 1.12 5.51
Total 51.38 47.59 49.09 46.37 59.93 254.36

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 19.1244 5.3611940 19.2912 5.0669303 20.4330 5.4339293 17.6533 5.369617 18.6463 5.046090
car 21.1801 11.2585075 21.3438 10.9776332 19.5542 11.8978785 22.1933 9.979542 21.6365 10.575168
cycle 52.1969 0.2680597 6.8324 0.6739572 55.6514 0.2634566 50.8807 0.236229 49.6654 0.247808
motorcycle 68.2169 2.4125373 68.8958 2.2776478 71.6039 2.3187539 68.1792 2.290470 67.5187 8.472023
truck 10.8760 2.6805970 10.8570 2.6759140 10.9149 2.6901878 10.8054 2.663187 10.8330 2.669994
bus 3.0219 1.6083582 3.0354 1.5605236 3.1128 1.4510306 2.9357 1.822179 3.0955 1.510491

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 69.9688 19.614501 70.7943 18.594447 74.5450 19.824404 64.7751 19.702746 68.4330 18.519444
car 62.4116 33.175517 62.8777 32.339560 57.4275 34.942175 65.7622 29.570970 63.7929 31.179790
cycle 494.0198 2.537063 69.8552 6.890580 529.4460 2.506424 482.4611 2.239971 471.4949 2.352547
motorcycle 278.6337 9.854076 282.8501 9.350827 293.9544 9.519144 276.9423 9.303840 260.4360 32.678658
truck 40.7449 10.042352 40.5479 9.993792 41.1201 10.134813 40.0477 9.870500 40.3018 9.933136
bus 10.0027 5.323786 10.0558 5.169663 10.3070 4.804626 9.7147 6.029775 10.2417 4.997549

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 5.8891 1.6509173 5.9262 1.5565314 6.3150 1.6794099 5.4167 1.6476035 5.7271 1.5498857
car 7.7438 4.1162889 7.8059 4.0147726 7.1679 4.3613825 8.0771 3.6319822 7.9074 3.8648811
cycle 5.6292 0.0289091 0.6959 0.0686488 5.9762 0.0282914 5.4790 0.0254380 5.3434 0.0266611
motorcycle 18.0970 0.6400146 18.2231 0.6024437 18.9435 0.6134492 18.1462 0.6096198 18.3893 2.3074267
truck 3.4056 0.8393835 3.4037 0.8388994 3.4099 0.8404357 3.3980 0.8375083 3.4012 0.8382811
bus 0.9336 0.4968800 0.9370 0.4816956 0.9611 0.4480374 0.9064 0.5625640 0.9568 0.4668998

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 45.0429 10.9904478 45.2224 10.4796482 47.4137 10.9713112 41.1278 10.7219283 43.3790 10.3084722
car 37.6287 10.7223881 38.2201 10.3154625 32.9806 11.3058097 39.6021 9.4858014 38.4050 9.9125298
cycle 54.3283 1.3402985 23.6849 2.2520253 58.2709 1.3284542 54.8668 1.2222110 54.3073 1.2293713
motorcycle 87.7205 2.4125373 89.0001 2.2845453 91.5193 2.2778367 86.1288 2.3189149 99.6347 9.0636910
truck 20.6794 2.9486567 20.6344 2.9422423 20.7166 2.9539590 20.5856 2.9352900 20.5829 2.9348959
bus 3.3412 0.5361194 3.3732 0.5130143 3.6927 0.4599758 2.8660 0.6435107 3.4652 0.4757601

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 81.9459 19.994785 82.4195 19.099552 85.3298 19.744913 76.4041 19.918386 79.2509 18.833005
car 61.8439 17.622557 62.8453 16.961690 53.9296 18.487151 65.6919 15.735058 63.1050 16.287711
cycle 146.4778 3.613660 63.9067 6.076416 156.3616 3.564717 149.3080 3.325976 146.4906 3.316152
motorcycle 235.8351 6.486065 239.3455 6.143763 246.1441 6.126312 231.9159 6.244059 260.6963 23.715342
truck 49.9229 7.118466 49.5805 7.069651 50.1715 7.153914 49.2672 7.024966 49.1792 7.012419
bus 25.1678 4.038337 25.4134 3.865016 27.8356 3.467344 21.5692 4.842934 26.1118 3.585044

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 27.1473 6.6239348 27.2159 6.3069099 28.7949 6.6629943 24.4144 6.3647901 26.0879 6.1994673
car 23.8614 6.7993599 24.2257 6.5384195 20.9894 7.1951928 24.9450 5.9750224 24.3505 6.2849838
cycle 20.3775 0.5027211 8.8775 0.8440918 21.9472 0.5003490 20.4115 0.4546863 20.3581 0.4608526
motorcycle 33.0759 0.9096714 33.5503 0.8612042 34.4837 0.8582685 32.4487 0.8736430 38.5071 3.5029620
truck 10.2321 1.4589836 10.2261 1.4581385 10.2375 1.4597590 10.2188 1.4570938 10.2195 1.4571910
bus 0.4442 0.0712712 0.4484 0.0681883 0.4906 0.0611060 0.3813 0.0856212 0.4605 0.0632248

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 21.3250 96.9483830 21.5490 94.7255981 20.2370 107.0806319 22.3315 88.2057238 22.1345 93.4670480
pedestrian 51.8002 172.3863435 52.8179 166.9676494 53.4569 166.4420537 50.5020 175.7656138 55.0600 176.0516433
motorcycle 99.5216 135.2732906 100.1052 133.5893396 103.5646 126.6107178 105.7808 126.4118709 85.9870 172.2821301
cycle 111.6260 15.4511485 61.8338 46.6571632 118.5177 14.0526716 116.2521 14.5690388 116.8391 15.2051074
other 75.4365 53.3216106 75.9399 52.1099424 77.4753 48.1913203 77.9095 47.1519216 76.6437 50.6587219
truck 2.6191 7.4226106 2.6172 7.4174175 2.6117 7.4016769 2.6171 7.4171443 2.6478 7.5040755
bus 1.0028 5.3018647 1.0092 5.2180324 1.0375 4.8772304 0.9308 6.0959212 1.0378 5.0803191
rail 0.3329 0.1514818 0.3341 0.1493879 0.3397 0.1385225 0.3329 0.1514818 0.3378 0.1422249

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 24.2180 110.100675 24.5403 107.875014 22.9331 121.346581 25.3892 100.28306 25.1755 106.308018
pedestrian 57.9956 193.004109 59.5092 188.120313 59.7665 186.087478 56.4887 196.60163 61.6959 197.269622
motorcycle 113.0227 153.624488 114.3504 152.599317 117.5212 143.673098 120.0861 143.50718 97.5808 195.511088
cycle 152.2522 21.074587 83.9398 63.337406 161.6684 19.169057 158.5787 19.87351 159.4404 20.749107
other 86.8868 61.415144 87.4959 60.039658 89.2852 55.537366 89.8170 54.35846 88.3849 58.419260
truck 4.0524 11.484797 4.0539 11.489149 4.0387 11.445904 4.0486 11.47396 4.1029 11.627820
bus 1.6664 8.810818 1.6800 8.686255 1.7304 8.134540 1.5331 10.04067 1.7371 8.503463
rail 2.8888 1.314600 2.8992 1.296428 2.9481 1.202135 2.8888 1.31460 2.9314 1.234266

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 18.8535 85.7125152 19.0201 83.608969 17.9254 94.849537 19.7215 77.8966300 19.5393 82.5081179
pedestrian 46.4942 154.7284097 47.2265 149.292144 48.0326 149.553078 45.3636 157.8822458 49.3608 157.8287969
motorcycle 88.0988 119.7470061 88.2986 117.833559 91.7250 112.136533 93.6593 111.9262555 76.1515 152.5758311
cycle 81.9251 11.3399845 45.5819 34.394148 86.9710 10.312170 85.3093 10.6912016 85.7060 11.1535310
other 66.0685 46.6999162 66.4995 45.631968 67.8288 42.191006 68.1938 41.2718442 67.0724 44.3324142
truck 1.7080 4.8407427 1.7058 4.834462 1.7040 4.829368 1.7071 4.8379295 1.7244 4.8870727
bus 0.6209 3.2828815 0.6243 3.227885 0.6406 3.011227 0.5803 3.8006095 0.6389 3.1278444
rail 0.0384 0.0174553 0.0385 0.017214 0.0391 0.015962 0.0384 0.0174553 0.0389 0.0163886

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 7.7005 23.352640 7.7529 22.894078 7.2209 25.807669 8.0945 20.709703 7.9743 22.467246
pedestrian 45.3923 188.327745 46.5044 181.983413 47.4730 183.837502 44.1200 184.183382 48.1177 188.686367
cycle 113.7873 71.062336 72.7686 83.446857 119.7674 68.984853 119.1820 65.007902 122.2373 70.458167
motorcycle 160.8616 220.217910 161.8375 217.614280 167.4582 214.854340 171.7581 195.912179 129.2364 248.174682
truck 0.8685 1.757726 0.8672 1.753512 0.8697 1.760168 0.8598 1.740180 0.8769 1.774709
bus 1.1707 8.286421 1.1771 8.133178 1.1992 7.848301 1.1048 9.310697 1.2022 7.957679

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 12.0203 36.452860 12.1055 35.747173 11.2360 40.157623 12.6312 32.316936 12.4446 35.062109
pedestrian 56.6032 234.840436 58.0713 227.247801 59.1474 229.046511 55.0066 229.630641 60.0056 235.303163
cycle 145.9789 91.166560 94.7476 108.651080 153.4640 88.393805 152.7846 83.336506 156.6395 90.287734
motorcycle 203.4982 278.587029 205.0457 275.714039 211.4792 271.334639 217.1222 247.655764 164.9792 316.812183
truck 2.6838 5.431578 2.6785 5.416277 2.6887 5.441566 2.6476 5.358319 2.7190 5.502643
bus 2.0889 14.785371 2.1013 14.518712 2.1434 14.027549 1.9678 16.582687 2.1518 14.243074

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 4.9859 15.1202243 5.0187 14.8200149 4.6899 16.7618799 5.2417 13.4109678 5.1631 14.5468511
pedestrian 36.5888 151.8027939 37.4452 146.5326167 38.2930 148.2882723 35.5720 148.4990581 38.7734 152.0441581
cycle 89.3310 55.7889296 56.4134 64.6916124 94.1244 54.2147681 93.6279 51.0694094 96.0410 55.3584618
motorcycle 128.3208 175.6698725 128.9458 173.3864871 133.7811 171.6454353 137.0868 156.3651578 102.3093 196.4662118
truck 0.2940 0.5949294 0.2936 0.5937456 0.2943 0.5955262 0.2919 0.5907267 0.2960 0.5989779
bus 0.6690 4.7348578 0.6724 4.6456659 0.6842 4.4777636 0.6322 5.3276070 0.6850 4.5344034

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 153.6760 264.775866 155.6737 255.038735 163.1510 264.692429 140.1867 256.419029 183.8702 301.425780
car 50.1477 90.041625 50.4783 87.747821 46.5045 106.259357 53.7741 74.588098 53.6722 88.647878
cycle 79.5501 16.047022 47.9649 26.080046 84.7054 15.700928 81.0552 14.528191 92.6075 17.616758
motorcycle 711.1102 218.417802 710.6006 214.153087 759.3948 211.270350 807.4726 180.234832 506.3891 352.841600
truck 2.6358 2.674504 2.6358 2.674504 2.6358 2.674504 2.6358 2.674504 2.6358 2.674504
bus 1.3386 3.566005 1.3488 3.456984 1.3674 3.287274 1.2496 4.349137 1.3619 3.337285

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 194.4796 335.078360 198.6891 325.510333 205.7683 333.833659 177.4591 324.595031 233.2503 382.376657
car 68.8111 123.552480 69.4190 120.673013 63.4566 144.993850 74.0058 102.650730 74.4675 122.994629
cycle 169.7325 34.238812 106.8698 58.108560 179.5390 33.279210 173.1752 31.039601 194.5711 37.013334
motorcycle 924.3943 283.928096 931.3183 280.670567 984.4037 273.869820 1049.8425 234.333871 659.1631 459.291405
truck 9.5413 9.681272 9.5413 9.681272 9.5413 9.681272 9.5413 9.681272 9.5413 9.681272
bus 4.0783 10.864783 4.1095 10.532622 4.1663 10.015556 3.8074 13.250803 4.1494 10.167927

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 122.8730 211.7038613 124.0093 203.1632725 130.8020 212.2100824 112.1037 205.0517216 146.3715 239.9526331
car 37.1637 66.7285203 37.3778 64.9749708 34.6192 79.1023799 39.7562 55.1443586 39.3898 65.0583395
cycle 38.9351 7.8540644 22.6754 12.3293337 41.6783 7.7254592 39.6345 7.1040132 45.8266 8.7176159
motorcycle 555.1134 170.5033002 552.6762 166.5595241 594.0481 165.2694242 630.3013 140.6886661 394.3773 274.7941018
truck 0.7282 0.7388461 0.7282 0.7388461 0.7282 0.7388461 0.7282 0.7388461 0.7282 0.7388461
bus 0.4393 1.1704229 0.4427 1.1346404 0.4488 1.0789389 0.4102 1.4274600 0.4470 1.0953532

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 77.1495 95.7332705 78.3445 92.3609705 81.1554 94.5234749 73.3445 91.5466921 81.0213 94.3222866
motorcycle 77.7678 168.8672115 77.8517 163.7991974 80.9790 163.8272787 82.9317 156.8390173 74.6408 177.9449304
cycle 114.2657 32.3295963 79.1759 44.8768424 123.3539 31.4858654 117.2910 29.6030933 119.7108 31.6395863
other 75.3016 0.3138796 75.5949 0.2930285 81.2849 0.2690978 79.5644 0.2488815 78.1597 0.2972649
car 8.9078 11.9274239 8.9147 11.6597241 8.0338 13.6387186 9.2346 11.0032643 9.1804 11.3071152
bus 0.1579 0.3138796 0.1584 0.3092242 0.1604 0.2947888 0.1352 0.3946103 0.1615 0.2914592

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 105.1102 130.429125 107.0385 126.188638 110.4397 128.631541 100.1190 124.965846 110.2224 128.317287
motorcycle 111.3447 241.776828 111.8807 235.395638 115.6524 233.974392 118.2745 223.678742 107.0309 255.163656
cycle 168.5251 47.681383 118.0887 66.932618 181.4830 46.323210 173.1839 43.709920 176.2106 46.572489
other 569.5451 2.374035 571.9529 2.217061 615.8427 2.038778 603.4303 1.887560 590.9216 2.247452
car 16.0961 21.552555 16.1285 21.094755 14.4291 24.495904 16.6803 19.875091 16.6015 20.447408
bus 1.2064 2.398498 1.2105 2.362926 1.2259 2.252627 1.0359 3.022375 1.2335 2.226614

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 57.0422 70.7825230 57.8165 68.1604236 60.0369 69.9263014 54.1068 67.5346503 59.9747 69.8205723
motorcycle 55.4538 120.4138167 55.3385 116.4315227 57.8100 116.9543230 59.3134 112.1724149 53.1429 126.6935631
cycle 79.6146 22.5256290 54.9937 31.1704323 86.0361 21.9605574 81.6126 20.5982144 83.5033 22.0699315
other 9.9717 0.0415652 10.0076 0.0387924 10.7437 0.0355677 10.5057 0.0328622 10.3538 0.0393785
car 4.9989 6.6934266 4.9976 6.5364008 4.5363 7.7011318 5.1835 6.1763432 5.1474 6.3398926
bus 0.0207 0.0411179 0.0208 0.0405081 0.0210 0.0386176 0.0177 0.0515712 0.0212 0.0381900

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 117.4680 1.3402985 36.9881 2.8401255 122.9448 1.304063 117.9277 1.302500 131.5744 1.4508246
pedestrian 14.8491 2.9486567 14.9654 2.8221252 15.1727 2.887665 13.9692 3.003935 16.5640 3.1898479
car 16.5355 5.8973134 16.6177 5.7143085 14.8254 6.115271 17.2564 5.256480 17.0933 5.5209095
motorcycle 114.1031 2.9486567 116.5388 2.7901925 119.1672 2.730644 115.1660 2.910997 115.6975 10.6631928
truck 6.2315 1.0722388 6.1965 1.0662318 6.2165 1.069674 6.2173 1.069795 6.4920 1.1170648
bus 4.6106 0.8041791 4.6488 0.7794332 4.7855 0.697673 4.3101 1.048033 4.7154 0.7383052

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 372.9289 4.255081 117.1674 8.996673 385.4944 4.088901 379.7735 4.194560 516.2164 5.692137
pedestrian 38.0391 7.553617 38.2382 7.210806 38.2877 7.286903 36.4215 7.832061 54.2941 10.455783
car 31.3650 11.186181 31.4932 10.829538 27.8551 11.489811 33.2790 10.137143 35.3661 11.422795
motorcycle 302.5448 7.818372 309.0099 7.398367 314.8633 7.214905 307.6495 7.776313 308.5511 28.437440
truck 28.5350 4.909982 28.2076 4.853657 28.2984 4.869279 28.5017 4.904257 33.0468 5.686320
bus 14.6297 2.551719 14.7510 2.473198 15.1846 2.213767 13.6762 3.325486 14.9624 2.342696

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 39.7439 0.4534735 12.5206 0.9613901 41.9295 0.4447423 39.3513 0.4346307 40.5355 0.4469712
pedestrian 6.3732 1.2655632 6.4256 1.2117192 6.5732 1.2510156 5.8947 1.2676009 6.4307 1.2384035
car 10.2868 3.6687503 10.3385 3.5550968 9.2398 3.8112849 10.6959 3.2580960 10.5054 3.3931132
motorcycle 43.4364 1.1224846 44.3609 1.0620958 45.5125 1.0428927 43.5439 1.1006378 43.6979 4.0273932
truck 1.6586 0.2853871 1.6546 0.2846998 1.6579 0.2852735 1.6555 0.2848679 1.6713 0.2875706
bus 1.4530 0.2534386 1.4651 0.2456399 1.5081 0.2198730 1.3583 0.3302897 1.4861 0.2326783

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 24.3909 10.454328 24.7656 9.982024 25.7971 10.405832 22.4724 10.083944 23.8450 9.756339
car 25.2769 16.351642 25.5099 15.900282 23.0250 17.038721 26.9749 14.839339 26.1363 15.229816
cycle 84.0607 1.608358 29.0984 3.248445 93.1497 1.564663 82.2722 1.491557 82.8086 1.503700
motorcycle 151.7985 6.165373 153.3935 6.026655 159.6295 5.855812 148.0509 5.557488 150.2236 24.490563
truck 3.6633 1.072239 3.6633 1.072239 3.6633 1.072239 3.6633 1.072239 3.6633 1.072239
bus 3.3521 1.608358 3.3624 1.572207 3.5119 1.477157 3.0514 1.847868 3.3916 1.507634

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 39.1759 16.791411 39.8240 16.051476 41.2434 16.636440 36.4550 16.358345 38.3765 15.701987
car 38.5518 24.939168 38.9209 24.259325 35.0252 25.918950 41.3589 22.752189 39.8706 23.232878
cycle 205.4038 3.930053 71.1474 7.942650 227.0175 3.813281 202.1706 3.665262 202.5598 3.678233
motorcycle 294.3138 11.953706 297.5453 11.690217 308.7768 11.327098 288.0269 10.811866 294.5425 48.018502
truck 9.9580 2.914647 9.9580 2.914647 9.9580 2.914647 9.9580 2.914647 9.9580 2.914647
bus 10.8526 5.207160 10.8810 5.087735 11.4391 4.811477 9.7686 5.915647 10.9682 4.875568

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 15.4945 6.6411684 15.7155 6.3342779 16.4508 6.6357840 14.1561 6.3522157 15.1175 6.1854007
car 16.9798 10.9842468 17.1304 10.6773176 15.4991 11.4694698 18.0442 9.9264089 17.5509 10.2270507
cycle 34.6421 0.6628177 11.9845 1.3379040 38.4771 0.6463110 33.7339 0.6115805 34.0899 0.6190302
motorcycle 78.9863 3.2080712 79.7774 3.1343647 83.2507 3.0539505 76.7938 2.8826623 77.1661 12.5801877
truck 1.3477 0.3944546 1.3477 0.3944546 1.3477 0.3944546 1.3477 0.3944546 1.3477 0.3944546
bus 1.0838 0.5200348 1.0877 0.5085726 1.1295 0.4750902 0.9962 0.6032888 1.0978 0.4879743

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 11.9452 17.1558209 12.1633 16.8346705 10.8526 18.3920545 13.0056 15.3755191 12.3700 16.2717533
pedestrian 19.0785 19.3002985 19.4630 18.6688388 20.3192 19.2949392 17.5580 19.1259712 18.9434 18.4169021
cycle 14.6545 0.5361194 4.4550 1.1132368 15.9728 0.5328692 15.5331 0.4844360 14.9353 0.5037084
other 34.5172 0.2680597 34.9862 0.2647426 36.9955 0.2578915 33.8711 0.2550067 35.4808 0.2520382
motorcycle 259.0759 6.9695522 261.4848 6.8645666 281.4220 6.2409761 286.2579 5.8383008 121.6206 27.7312816
truck 3.2387 3.2167164 3.2387 3.2167164 3.2387 3.2167164 3.2387 3.2167164 3.2387 3.2167164
bus 0.2632 0.5361194 0.2678 0.5233396 0.2813 0.5014509 0.2350 0.5879985 0.2697 0.5073658

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 19.0414 27.347333 20.2802 28.069070 17.1363 29.041251 20.7198 24.495421 20.9864 27.605895
pedestrian 30.4616 30.815802 32.7069 31.372438 32.0130 30.399176 28.1945 30.712354 32.8375 31.924868
cycle 62.8941 2.300915 19.1254 4.779117 68.3211 2.279261 66.6962 2.080084 66.6083 2.246432
other 269.7685 2.095018 278.8257 2.109890 288.1314 2.008533 264.4544 1.991007 285.0955 2.025178
motorcycle 488.9036 13.152281 509.9040 13.386132 529.1019 11.733667 540.7023 11.027757 229.3870 52.303616
truck 5.7691 5.729976 5.7691 5.729976 5.7691 5.729976 5.7691 5.729976 5.7691 5.729976
bus 2.0071 4.087742 2.0690 4.043732 2.1415 3.817153 1.7886 4.475203 2.0949 3.941723

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 8.0858 11.6128476 8.1524 11.2833864 7.3827 12.5116550 8.7716 10.3699191 8.2580 10.8627029
pedestrian 13.1391 13.2918772 13.2459 12.7054162 14.0905 13.3801806 12.0080 13.0803911 12.7913 12.4358242
cycle 3.4466 0.1260901 1.0476 0.2617661 3.7648 0.1255981 3.6483 0.1137824 3.4610 0.1167272
other 4.4900 0.0348695 4.5086 0.0341171 4.8229 0.0336199 4.4059 0.0331710 4.5541 0.0323503
motorcycle 140.9509 3.7918034 141.0731 3.7034865 153.5644 3.4055327 155.5277 3.1720267 65.7606 14.9943853
truck 1.8181 1.8058129 1.8181 1.8058129 1.8181 1.8058129 1.8181 1.8058129 1.8181 1.8058129
bus 0.0349 0.0711258 0.0353 0.0690046 0.0374 0.0665817 0.0312 0.0780803 0.0355 0.0667297

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 13.5369 3.7528358 15.0294 3.9494305 13.9937 3.6969936 12.6097 3.7731646 14.2752 3.8267023
car 17.2162 8.3098507 18.0930 8.4063949 15.5889 8.6176018 17.9727 7.5242716 18.2332 7.9608705
cycle 126.5497 0.8041791 25.1308 2.3207295 142.0113 0.7661085 126.4120 0.7663919 133.3378 0.8234674
motorcycle 92.0835 2.9486567 99.5078 3.0124202 95.8298 2.7270595 92.4376 2.8132268 103.6562 12.3135854
truck 5.8962 1.3402985 5.8962 1.3402985 5.8962 1.3402985 5.8962 1.3402985 5.8962 1.3402985
bus 2.9362 0.8041791 3.3613 0.8889078 3.2104 0.7469432 2.4995 0.8820492 3.2803 0.8141642

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 34.0590 9.442162 45.3616 11.920120 34.7316 9.175728 32.1363 9.616057 42.0019 11.259270
car 33.2502 16.049053 39.5500 18.375828 29.7972 16.471981 35.0216 14.661812 38.4592 16.791831
cycle 492.9563 3.132565 97.9591 9.046135 549.4340 2.964032 496.8250 3.012076 585.0082 3.612894
motorcycle 250.4412 8.019515 303.5771 9.190248 260.3480 7.408805 252.2663 7.677421 267.4273 31.768375
truck 14.4217 3.278282 14.4217 3.278282 14.4217 3.278282 14.4217 3.278282 14.4217 3.278282
bus 12.4004 3.396292 16.5026 4.364218 13.4237 3.123203 10.5959 3.739134 15.4875 3.844020

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 6.0603 1.6801014 6.2859 1.6518018 6.3158 1.6685702 5.5718 1.6672236 6.0268 1.6155741
car 10.3507 4.9960507 10.5156 4.8857829 9.4122 5.2031080 10.7404 4.4964761 10.7025 4.6728623
cycle 34.1302 0.2168855 6.7727 0.6254345 38.4850 0.2076148 33.7953 0.2048889 34.1501 0.2109039
motorcycle 36.0295 1.1537195 37.4156 1.1326887 37.4736 1.0663986 36.0776 1.0979789 42.1753 5.0101156
truck 2.4106 0.5479700 2.4106 0.5479700 2.4106 0.5479700 2.4106 0.5479700 2.4106 0.5479700
bus 0.7714 0.2112697 0.8165 0.2159199 0.8474 0.1971576 0.6549 0.2310960 0.8141 0.2020706

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 74.2437 87.8862811 76.3351 84.921570 79.4886 89.1626621 71.1555 87.3897820 78.2933 87.7610868
cycle 229.4034 11.2996647 111.6146 27.592061 250.7962 10.9207962 247.9602 10.0180488 242.3849 11.0694258
motorcycle 114.3830 141.8735680 114.9336 140.427664 121.8939 140.6939425 119.8428 131.8426109 108.0499 155.0503925
car 7.6894 5.0220732 7.7524 4.912425 6.5629 6.3839212 8.0152 4.4522706 7.8723 4.7685127
auto_rickshaw 220.4985 0.2092531 220.0674 0.208844 248.6873 0.1906188 258.3298 0.1791517 229.1213 0.2090732
truck 2.9194 1.2555183 2.9171 1.254503 2.9552 1.2708899 2.9008 1.2474948 2.9351 1.2622748
bus 2.4192 3.1387958 2.4409 3.058035 2.4748 2.9802191 2.2072 3.9015475 2.4719 2.9566294

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 88.3578 104.594000 91.5930 101.895802 94.5123 106.014840 84.7599 104.097978 93.0715 104.326271
cycle 342.6791 16.879259 170.0614 42.040580 373.6919 16.272227 369.9750 14.947674 361.4421 16.506627
motorcycle 132.7957 164.711593 134.4496 164.272565 141.4892 163.311498 139.2042 153.142643 125.3058 179.812309
car 13.5644 8.859053 13.7057 8.684810 11.4573 11.144762 14.2092 7.892836 13.9540 8.452384
auto_rickshaw 1641.6326 1.557909 1641.2455 1.557542 1851.1831 1.418932 1923.2222 1.333755 1705.6385 1.556395
truck 9.3378 4.015772 9.3401 4.016762 9.4852 4.079176 9.2601 3.982364 9.4021 4.043440
bus 4.9925 6.477541 5.0487 6.325073 5.1517 6.203929 4.4760 7.911865 5.1338 6.140564

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 62.8786 74.4328383 64.3913 71.6343559 67.3625 75.5607929 60.1973 73.9314554 66.3649 74.3901765
cycle 154.5218 7.6112412 73.7035 18.2201022 169.3468 7.3741206 167.2059 6.7554273 163.5376 7.4685682
motorcycle 99.3978 123.2868312 99.5171 121.5915780 105.9119 122.2469829 104.0623 114.4820795 93.9818 134.8627776
car 4.5621 2.9795891 4.5947 2.9114738 3.9215 3.8145043 4.7391 2.6324613 4.6549 2.8196334
auto_rickshaw 29.6364 0.0281250 29.5359 0.0280296 33.4302 0.0256242 34.7219 0.0240796 30.7983 0.0281035
truck 0.9503 0.4087001 0.9492 0.4082189 0.9590 0.4124257 0.9458 0.4067672 0.9542 0.4103477
bus 1.2817 1.6628964 1.2920 1.6186094 1.3049 1.5714347 1.1803 2.0862889 1.3050 1.5609728

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 76.8268 513.131639 79.1118 501.625847 79.9861 501.909005 72.4333 506.783228 100.1414 638.828497
cycle 124.7819 32.975544 52.1207 74.810491 132.2421 31.670358 128.8978 30.434911 158.8862 39.229706
car 36.8203 294.367053 37.1400 289.973370 34.3793 321.135548 38.6773 259.493493 40.8742 308.303628
motorcycle 182.2453 104.556604 185.8882 104.351992 190.9846 100.165545 195.5351 93.263454 114.5878 214.254394
other 1430.5517 49.865457 1465.2890 49.097438 1474.3171 48.415173 1496.6483 44.931253 1794.0447 60.276763
truck 2.0676 9.651379 2.0676 9.651379 2.0676 9.651379 2.0676 9.651379 2.0676 9.651379
bus 1.0437 11.259942 1.0520 11.002044 1.0643 10.537214 0.9920 12.959758 1.0845 10.989865

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 91.0478 608.11495 95.0532 602.70626 94.6401 593.86211 85.8846 600.89633 118.6978 757.20515
cycle 207.3361 54.79179 91.9592 131.99199 218.9239 52.42957 214.0531 50.54150 259.3228 64.02794
car 44.0002 351.76774 44.6260 348.42094 40.9921 382.90477 46.2775 310.48417 49.2436 371.43183
motorcycle 249.4503 143.11305 257.4999 144.55259 260.8872 136.82733 267.3681 127.52528 158.1297 295.66848
other 2171.6051 75.69672 2243.2188 75.16353 2235.1245 73.39937 2271.6161 68.19675 2675.9025 89.90564
truck 3.9899 18.62493 3.9899 18.62493 3.9899 18.62493 3.9899 18.62493 3.9899 18.62493
bus 2.5549 27.56307 2.5902 27.08775 2.6246 25.98394 2.3647 30.89243 2.8570 28.95092

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 65.3314 436.353161 66.7494 423.239745 68.1017 427.334993 61.5733 430.800697 84.9847 542.140251
cycle 77.4316 20.462501 30.8362 44.260138 82.2926 19.708068 80.0218 18.894489 99.8461 24.652450
car 31.0356 248.120321 31.2117 243.688239 29.0333 271.198377 32.5649 218.484264 34.1736 257.762821
motorcycle 134.5908 77.216591 136.2170 76.468048 141.2805 74.097278 144.5482 68.944447 83.8937 156.863050
other 987.1088 34.408144 1004.7187 33.665111 1018.1063 33.433642 1032.7391 31.004119 1249.3334 41.975414
truck 1.0714 5.001314 1.0714 5.001314 1.0714 5.001314 1.0714 5.001314 1.0714 5.001314
bus 0.5229 5.641591 0.5264 5.504968 0.5322 5.269116 0.5005 6.538381 0.5324 5.394774

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 139.1922 18.9088191 141.5022 18.0243801 152.2102 18.9425119 126.7218 18.2550327 143.0924 18.5857515
car 98.3804 14.0956652 98.8840 13.7238773 92.1249 15.7734199 105.2141 12.2556002 103.9638 13.4092499
cycle 598.7684 4.4693572 285.6614 9.1832406 649.2394 4.4195346 605.3156 4.0873933 629.1191 4.3284969
motorcycle 1343.0480 46.7563528 1350.2269 45.1656495 1423.5617 45.8080290 1451.0279 39.6370542 1084.5859 62.2451985
truck 12.2020 1.0313901 12.2020 1.0313901 12.2020 1.0313901 12.2020 1.0313901 12.2020 1.0313901
bus 1.4156 0.3437967 1.4272 0.3340199 1.4546 0.3097596 1.3433 0.3984618 1.4386 0.3204621

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 214.2867 29.110161 217.4907 27.703699 232.1808 28.894828 195.6024 28.177708 223.2947 29.002930
car 166.3968 23.840844 166.9333 23.168268 154.8992 26.521489 178.3241 20.771625 176.8468 22.809712
cycle 1389.3809 10.370686 700.4478 22.517503 1490.6752 10.147399 1408.9103 9.513666 1464.4030 10.075458
motorcycle 1926.2338 67.059158 1932.7944 64.652774 2030.0866 65.325070 2090.6639 57.109693 1553.7644 89.171699
truck 38.7178 3.272676 38.7178 3.272676 38.7178 3.272676 38.7178 3.272676 38.7178 3.272676
bus 10.4599 2.540309 10.5456 2.468068 10.7481 2.288809 9.9258 2.944228 10.6296 2.367889

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 93.2174 12.6632910 94.8358 12.0800744 102.6857 12.7791976 84.6668 12.1967577 94.6248 12.2904643
car 59.9652 8.5916445 60.3286 8.3728575 56.4096 9.6583202 64.0148 7.4566045 62.9890 8.1243288
cycle 270.3010 2.0175941 122.9327 3.9519547 295.8184 2.0137096 272.5315 1.8402688 282.6512 1.9447112
motorcycle 967.0157 33.6653095 972.8456 32.5420892 1029.1033 33.1149633 1041.0692 28.4384035 780.2676 44.7801439
truck 3.8455 0.3250446 3.8455 0.3250446 3.8455 0.3250446 3.8455 0.3250446 3.8455 0.3250446
bus 0.1916 0.0465283 0.1932 0.0452051 0.1969 0.0419218 0.1818 0.0539265 0.1947 0.0433702

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 26.8171 6.7014925 27.0856 6.4084921 28.1791 6.641718 25.0813 6.6578113 26.2136 6.2811314
car 29.0315 9.1140299 29.2967 8.8484292 25.8063 9.554253 30.3737 8.2690962 29.6800 8.5193982
cycle 14.0557 0.2680597 6.2150 0.4635092 15.3432 0.259405 14.6697 0.2468389 13.8271 0.2513357
motorcycle 53.2470 1.3402985 55.6006 1.2709514 53.8589 1.284061 53.4314 1.2819151 55.4063 4.9624837
truck 11.9330 1.8764179 11.9330 1.8764179 11.9330 1.876418 11.9330 1.8764179 11.9330 1.8764179

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 52.1978 13.044051 52.7825 12.488406 54.6243 12.874762 49.2936 13.084941 51.1673 12.260375
car 51.0993 16.041908 51.5754 15.577201 45.2826 16.764980 53.8313 14.655324 52.2649 15.002188
cycle 111.6584 2.129465 49.3910 3.683529 121.7318 2.058094 116.8953 1.966939 109.9446 1.998463
motorcycle 202.8421 5.105809 211.8241 4.842006 204.8162 4.883063 203.9662 4.893512 215.2530 19.279196
truck 25.4124 3.995999 25.4124 3.995999 25.4124 3.995999 25.4124 3.995999 25.4124 3.995999

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 14.1327 3.5317121 14.2588 3.3736496 14.9157 3.5155761 13.0892 3.4745113 13.7795 3.3017609
car 17.2430 5.4132003 17.3981 5.2547092 15.3705 5.6906045 17.9329 4.8821541 17.6223 5.0583390
cycle 1.7745 0.0338424 0.7844 0.0584960 1.9396 0.0327928 1.8463 0.0310668 1.7441 0.0317028
motorcycle 14.0908 0.3546836 14.7122 0.3363015 14.2798 0.3404486 14.1068 0.3384484 14.3656 1.2866558
truck 5.6034 0.8811174 5.6034 0.8811174 5.6034 0.8811174 5.6034 0.8811174 5.6034 0.8811174

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 45.2092 14.4752239 46.0449 13.825917 47.7149 14.2054454 42.2114 14.3992912 44.5500 13.6959487
car 13.3227 8.0417910 13.4319 7.841018 12.1436 8.3491335 13.9338 7.4404722 13.4999 7.6406990
motorcycle 198.3548 1.0722388 204.0983 1.025058 208.5375 1.0175765 200.0029 1.0039271 65.8996 6.2273509
cycle 93.2584 0.5361194 17.8570 1.519329 105.4717 0.5081626 91.1489 0.5140117 89.8627 0.5165983
truck 6.4834 1.8764179 6.4834 1.876418 6.4834 1.8764179 6.4834 1.8764179 6.4834 1.8764179
bus 1.0528 0.5361194 1.0560 0.524647 1.1071 0.5006079 0.9777 0.5804936 1.0679 0.5026929

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 77.4293 24.791587 78.9312 23.700703 81.1200 24.150684 73.0827 24.930221 76.5079 23.520745
car 23.6947 14.302467 23.9005 13.952135 21.5251 14.799191 24.8884 13.290051 24.0090 13.588676
motorcycle 879.9519 4.756721 904.7207 4.543845 919.1415 4.485028 888.3910 4.459335 339.0966 32.043784
cycle 405.8335 2.333035 77.7434 6.614634 458.1636 2.207432 397.6837 2.242638 391.2423 2.249154
truck 13.8069 3.995999 13.8069 3.995999 13.8069 3.995999 13.8069 3.995999 13.8069 3.995999
bus 7.9493 4.047951 7.9740 3.961760 8.3611 3.780697 7.3778 4.380618 8.0643 3.796278

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 28.4203 9.0997113 28.9132 8.6817836 30.1625 8.9798248 26.3132 8.9760558 27.9596 8.5955964
car 7.7526 4.6795687 7.8129 4.5608302 7.0864 4.8721522 8.0786 4.3138641 7.8557 4.4461615
motorcycle 49.9529 0.2700283 51.4182 0.2582416 52.7869 0.2575779 50.2804 0.2523856 14.7491 1.3937499
cycle 21.4930 0.1235577 4.1137 0.3500046 24.3500 0.1173181 20.9530 0.1181594 20.7009 0.1190040
truck 3.0444 0.8811174 3.0444 0.8811174 3.0444 0.8811174 3.0444 0.8811174 3.0444 0.8811174
bus 0.1396 0.0710817 0.1400 0.0695535 0.1468 0.0663578 0.1297 0.0770061 0.1416 0.0666379

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 15.2811 2.4425453 15.4403 2.3543836 15.0415 2.2714674 14.6539 2.6516504 16.3644 2.5306499
car 10.1965 3.6538355 10.3197 3.5387833 8.3617 3.5687725 11.4558 3.4284389 11.5056 3.5857425
cycle 70.7065 0.2949838 14.0823 0.8337814 73.1976 0.2759878 79.1462 0.2969725 75.4667 0.3134659
other 40.2803 0.2689055 39.6612 0.2633245 41.4685 0.1254774 40.3108 0.2330609 53.2694 0.2982605
motorcycle 26.6855 0.2543145 26.7243 0.2380715 28.0406 0.2012747 29.4850 0.2427716 18.1729 1.2524042
truck 6.2184 1.5529796 6.2184 1.5529796 6.2184 1.5529796 6.2184 1.5529796 6.2184 1.5529796

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 112.6909 18.012647 113.7439 17.343967 109.0683 16.470715 108.5877 19.649087 131.3999 20.320170
car 65.0701 23.317241 65.7752 22.555233 52.3810 22.356147 72.8345 21.797496 79.3497 24.729402
cycle 1100.6007 4.591651 215.1785 12.740215 1107.6101 4.176189 1212.1798 4.548341 1264.4217 5.252028
other 526.4728 3.514653 518.9921 3.445770 648.9920 1.963753 510.0364 2.948826 713.9524 3.997491
motorcycle 318.3007 3.033420 319.7863 2.848791 328.3278 2.356726 350.2240 2.883651 234.0888 16.132466
truck 31.2114 7.794690 31.2114 7.794690 31.2114 7.794690 31.2114 7.794690 31.2114 7.794690

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2.4256 0.3877140 2.4528 0.3740055 2.4230 0.3659107 2.3120 0.4183599 2.4575 0.3800351
car 1.7962 0.6436365 1.8196 0.6239794 1.4926 0.6370194 2.0205 0.6046914 1.9405 0.6047611
cycle 4.8719 0.0203254 0.9760 0.0577891 5.1808 0.0195340 5.5411 0.0207914 4.9559 0.0205853
other 3.4494 0.0230278 3.3930 0.0225272 2.8939 0.0087566 3.5853 0.0207290 4.4791 0.0250792
motorcycle 2.3088 0.0220028 2.3045 0.0205292 2.4719 0.0177433 2.5597 0.0210762 1.4732 0.1015246
truck 1.3043 0.3257287 1.3043 0.3257287 1.3043 0.3257287 1.3043 0.3257287 1.3043 0.3257287

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 65.5008 141.911080 66.3189 136.792879 70.3786 142.632598 62.6583 143.166294 66.5392 137.612891
car 30.4436 83.336150 30.7461 81.223949 28.2467 93.247583 32.5279 74.939149 31.1242 80.330888
cycle 135.9394 33.014960 78.3723 50.062935 151.0089 32.269780 144.1206 30.776217 139.8124 31.817371
motorcycle 194.3922 50.321190 193.9116 49.416320 201.5982 49.368733 205.1935 45.101477 134.9794 93.658224
other 192.1240 2.928746 193.8691 2.824439 205.7809 2.889069 198.8407 2.769860 197.9951 2.819508
truck 5.0261 8.786240 4.9980 8.737167 5.0938 8.904671 4.9926 8.727685 5.0209 8.777121
bus 1.3455 6.123743 1.3488 6.020459 1.3958 5.861755 1.2657 6.762547 1.3709 5.886961

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 79.1698 171.525755 80.6601 166.373852 84.7291 171.716025 75.7415 173.059845 81.1571 167.844898
car 37.2036 101.840890 37.6932 99.576441 34.4200 113.626812 39.8112 91.718593 38.1904 98.568597
cycle 184.2130 44.738953 108.0455 69.017646 203.6356 43.515822 195.0270 41.647019 190.6330 43.382709
motorcycle 253.5929 65.646128 254.0383 64.738972 262.5380 64.292088 267.6046 58.819402 176.2756 122.312474
other 390.0483 5.945913 395.2184 5.757855 417.1156 5.856113 403.4461 5.620021 403.2062 5.741773
truck 8.8744 15.513619 8.8438 15.460134 8.9930 15.720902 8.8082 15.397927 8.8819 15.526771
bus 2.6186 11.918155 2.6283 11.731796 2.7317 11.471602 2.4434 13.054660 2.6768 11.495173

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 55.2821 119.771614 55.9216 115.347015 59.5441 120.674950 52.8531 120.762540 55.7650 115.330201
car 25.2824 69.207804 25.5226 67.424558 23.5047 77.593293 26.9670 62.127570 25.7690 66.509189
cycle 102.1666 24.812733 58.0770 37.098606 113.9256 24.345275 108.4290 23.154461 104.5346 23.789123
motorcycle 150.9764 39.082400 150.5081 38.355411 156.7315 38.381485 159.3848 35.032736 104.5640 72.553907
other 95.6518 1.458121 96.4449 1.405086 102.5358 1.439555 99.0249 1.379420 98.2836 1.399588
truck 2.8741 5.024276 2.8579 4.995903 2.9118 5.090256 2.8565 4.993530 2.8666 5.011188
bus 0.7148 3.253355 0.7167 3.198926 0.7379 3.098865 0.6769 3.616443 0.7265 3.119974

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 170.7518 403.375369 172.2286 387.755575 184.3184 403.052535 157.0538 393.954513 195.9089 440.196967
other 68.2045 1.485338 70.1066 1.404959 71.2944 1.464413 72.0596 1.278133 82.2430 1.503187
car 62.6700 169.752917 63.1839 164.769543 58.9734 193.498588 66.2847 146.774384 67.1249 168.465067
motorcycle 1308.0303 437.325953 1312.1463 427.536039 1373.1694 417.462786 1394.1945 372.864599 950.4582 819.623347
cycle 609.3374 38.830980 220.8304 121.736141 668.4887 37.162986 619.3169 35.413854 676.7052 41.198344
truck 8.6850 15.065571 8.6477 15.000955 8.7451 15.169769 8.5585 14.846181 9.0373 15.676699
bus 2.8178 9.972984 2.8379 9.692684 2.9888 9.349246 2.5057 11.015174 3.0917 10.102807

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 185.2717 437.676511 187.6192 422.405980 199.6385 436.553153 170.4751 427.620647 213.3719 479.435367
other 145.9146 3.177688 150.2550 3.011159 152.4921 3.132246 154.1498 2.734183 175.9623 3.216128
car 69.3785 187.924298 70.0649 182.713795 65.1866 213.884836 73.4340 162.604970 74.5729 187.157564
motorcycle 1412.1474 472.136373 1421.2483 463.084683 1481.8716 450.509781 1505.6483 402.671925 1025.0221 883.923159
cycle 753.7786 48.035725 278.4311 153.489406 825.1851 45.874134 766.1678 43.811099 836.2626 50.912320
truck 12.1288 21.039487 12.0843 20.962235 12.2198 21.197321 11.9332 20.700083 12.6734 21.984027
bus 4.2709 15.115879 4.3080 14.713703 4.5334 14.180954 3.7911 16.665590 4.6961 15.345693

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 157.8533 372.9047084 158.9266 357.8074565 170.6617 373.1891647 145.1357 364.0590409 180.3649 405.2705176
other 31.9002 0.6947147 32.7505 0.6563299 33.3513 0.6850476 33.7051 0.5978337 38.4597 0.7029426
car 56.7341 153.6745371 57.1566 149.0517752 53.4620 175.4150011 59.9618 132.7736473 60.5579 151.9837660
motorcycle 1213.9394 405.8676679 1215.9750 396.2005942 1274.7690 387.5476786 1293.3883 345.9048979 882.7768 761.2585779
cycle 493.6400 31.4579835 175.5826 96.7925912 542.6829 30.1691239 501.6814 28.6872023 548.6550 33.4025435
truck 6.2506 10.8426955 6.2233 10.7953301 6.2901 10.9112596 6.1687 10.7005497 6.4784 11.2378702
bus 1.8615 6.5884178 1.8732 6.3978267 1.9730 6.1715652 1.6582 7.2895361 2.0379 6.6594276

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 25.0757 10.7223881 25.0779 10.1440097 26.7243 10.8513605 23.6555 10.7327369 24.5336 10.1311747
car 18.4612 9.3820896 18.5913 9.1190827 16.6859 10.0336531 19.6108 8.0418796 18.7716 8.7870918
cycle 48.0635 2.4125373 18.7502 2.6328099 52.8909 2.3469305 49.4315 2.1540936 47.9833 2.2804842
motorcycle 53.7109 2.1444776 54.9057 2.0729166 55.9377 2.0507625 50.5077 1.8106508 46.2621 6.7473738
truck 2.1547 0.5361194 2.1547 0.5361194 2.1547 0.5361194 2.1547 0.5361194 2.1547 0.5361194

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 76.4380 32.684980 76.6206 30.993080 80.7255 32.778453 72.8566 33.055786 74.9849 30.965145
car 61.1921 31.098155 61.6262 30.227736 55.3302 33.271442 65.3519 26.799135 62.2615 29.144960
cycle 154.2569 7.742894 61.1814 8.590796 169.2316 7.509322 159.4761 6.949545 153.6570 7.302802
motorcycle 221.5060 8.843923 226.3257 8.544722 230.8032 8.461594 206.8519 7.415428 197.6805 28.831871
truck 12.6626 3.150660 12.6626 3.150660 12.6626 3.150660 12.6626 3.150660 12.6626 3.150660

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 9.0651 3.8762404 9.0426 3.6577201 9.7201 3.9468444 8.4984 3.8558186 8.8580 3.6579228
car 5.9112 3.0041263 5.9503 2.9186505 5.3419 3.2122424 6.2497 2.5628322 6.0062 2.8115192
cycle 15.7264 0.7893833 6.0485 0.8492953 17.3454 0.7696670 16.1064 0.7018732 15.7224 0.7472329
motorcycle 13.5734 0.5419353 13.8826 0.5241245 14.1256 0.5178650 12.8708 0.4614054 11.3924 1.6615853
truck 0.3756 0.0934669 0.3756 0.0934669 0.3756 0.0934669 0.3756 0.0934669 0.3756 0.0934669

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 10.6041 2.3080456 10.8656 2.2234083 10.8034 2.1884143 10.3190 2.4423142 10.6317 2.2217463
car 10.3749 3.7504203 10.5839 3.6487393 9.2154 3.8927853 10.7058 3.3247930 10.5773 3.5308593
cycle 33.8444 1.1120371 15.6360 1.5296220 35.3112 1.0518369 34.6416 1.0542735 34.3243 1.0533864
motorcycle 28.5846 0.7861492 29.4845 0.7261793 28.5042 0.7580655 28.7644 0.7664317 26.0310 2.3986073
bus 1.9351 0.5086972 1.9296 0.4854869 2.0015 0.4421886 1.8207 0.5974321 1.9628 0.4659032

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 57.4463 12.503546 58.6996 12.011582 58.5658 11.863570 55.7577 13.196810 57.3322 11.980933
car 63.2929 22.879822 64.4866 22.231308 55.8087 23.574931 65.4390 20.322805 64.4908 21.527929
cycle 263.0160 8.641995 134.8705 13.193976 272.8386 8.127221 268.4197 8.169006 265.4145 8.145357
motorcycle 263.7546 7.253924 270.3813 6.659268 263.9098 7.018658 261.4984 6.967673 257.3940 23.717416
bus 15.1094 3.971878 15.1315 3.807007 15.4982 3.424045 14.8211 4.863204 15.3456 3.642584

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2.1005 0.4571932 2.1581 0.4416127 2.1401 0.4335214 2.0471 0.4845166 2.1146 0.4419048
car 1.9081 0.6897637 1.9488 0.6718388 1.7125 0.7234159 1.9624 0.6094489 1.9461 0.6496332
cycle 4.9874 0.1638728 2.1386 0.2092097 5.2259 0.1556674 5.1130 0.1556068 5.0824 0.1559759
motorcycle 3.8179 0.1050021 3.9752 0.0979048 3.7919 0.1008441 3.8993 0.1038983 3.2751 0.3017846
bus 0.3063 0.0805131 0.3043 0.0765653 0.3189 0.0704481 0.2788 0.0914731 0.3105 0.0736986

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 364.2450 311.48796 370.3912 297.59180 400.2668 318.30539 333.1012 279.80572 384.0427 311.60394
cycle 1245.2564 22.70320 392.0963 47.38448 1396.8022 22.96797 1276.9268 18.73635 1340.3268 22.60193
car 286.2457 61.75272 292.0707 59.98708 230.3213 69.47136 309.4606 49.52994 306.5216 60.82378
motorcycle 1538.6454 64.02304 1524.1416 63.36390 1688.8627 61.64349 1672.7668 50.00485 877.2989 120.80324
truck 167.4027 13.62192 167.0942 13.59682 168.4082 13.70375 165.3970 13.45872 168.2641 13.69202
bus 40.3721 28.60604 40.4949 28.03308 42.3647 27.56220 36.8670 30.50180 42.3064 27.50884

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 422.7781 361.54315 435.5059 349.90835 462.3850 367.70376 387.7174 325.68341 450.3725 365.42253
cycle 1695.5920 30.91361 533.9614 64.52873 1898.3579 31.21517 1740.4426 25.53751 1836.0534 30.96137
car 374.5133 80.79498 386.3032 79.34108 300.6548 90.68591 405.1092 64.83874 403.0316 79.97447
motorcycle 1994.4684 82.98983 1998.0829 83.06730 2181.4441 79.62271 2169.5379 64.85508 1147.7431 158.04317
truck 276.2287 22.47733 275.8536 22.44681 278.9310 22.69723 270.7119 22.02842 278.6983 22.67829
bus 58.2688 41.28693 58.7695 40.68394 61.2249 39.83247 52.9765 43.82999 61.2891 39.85197

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 318.5481 272.40972 323.1608 259.644366 351.2701 279.341553 290.6003 244.104831 332.5053 269.787593
cycle 916.3451 16.70658 288.4879 34.863490 1029.6198 16.930295 938.7785 13.774698 980.6440 16.536599
car 220.6361 47.59854 224.6831 46.146648 177.8516 53.645016 238.2984 38.140247 235.0698 46.645437
motorcycle 1199.9882 49.93151 1185.9094 49.302404 1320.9985 48.216446 1303.4921 38.965941 677.9445 93.352332
truck 106.1449 8.63724 106.0138 8.626572 106.5174 8.667551 105.4125 8.577649 106.4440 8.661579
bus 28.1473 19.94403 28.2075 19.527007 29.4911 19.186692 25.8076 21.351867 29.3916 19.111272

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 458.2327 587.13357 464.1623 566.29391 516.2667 641.10374 437.7824 591.99695 460.0393 554.84942
car 224.4746 49.58898 224.4635 48.57881 159.1070 73.07488 234.9603 45.84726 239.1390 43.94999
motorcycle 256.2143 595.06781 257.9599 581.92324 287.6491 625.61288 270.2377 555.45639 236.7486 607.30420
cycle 200.7350 37.68763 111.2077 54.30586 234.6369 40.26296 209.1551 35.72624 211.0050 34.57332
other 2867.6480 23.80271 2888.0087 22.97030 3166.5215 24.62687 3040.5226 22.18572 2954.7488 21.49515
truck 196.4549 19.83559 196.4549 19.83559 196.4549 19.83559 196.4549 19.83559 196.4549 19.83559
bus 20.3527 23.80271 20.4823 23.19226 21.2938 23.24133 18.9581 27.65575 21.2574 20.94271

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 563.9721 722.61745 574.9552 701.46509 633.7641 787.01286 539.0754 728.97174 565.8251 682.43668
car 402.9898 89.02501 404.2553 87.48966 286.6480 131.65209 421.4011 82.22704 428.6958 78.78754
motorcycle 317.5548 737.53359 321.5279 725.32429 355.4293 773.02918 334.9684 688.50612 293.3962 752.61602
cycle 327.4166 61.47187 181.3679 88.56708 382.3826 65.61567 341.3071 58.29941 344.1313 56.38615
other 6592.7960 54.72304 6652.7536 52.91387 7181.8371 55.85504 6974.1854 50.88840 6781.0171 49.33041
truck 369.7727 37.33509 369.7727 37.33509 369.7727 37.33509 369.7727 37.33509 369.7727 37.33509
bus 46.1478 53.97046 46.5002 52.65244 48.9027 53.37533 42.5552 62.07866 48.3600 47.64414

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 376.1034 481.90125 380.5949 464.33889 424.2507 526.83767 359.1162 485.61957 377.6654 455.498905
car 126.0431 27.84434 125.9477 27.25784 88.9781 40.86600 132.0485 25.76632 134.4417 24.708273
motorcycle 209.4477 486.45044 210.6974 475.30540 235.5311 512.26053 220.8511 453.94531 193.4999 496.363331
cycle 123.3873 23.16573 68.3617 33.38297 144.3077 24.76275 128.5216 21.95305 129.7094 21.252975
other 1358.7591 11.27829 1367.8937 10.87979 1512.8357 11.76572 1442.5951 10.52615 1401.4459 10.195211
truck 104.3737 10.53837 104.3737 10.53837 104.3737 10.53837 104.3737 10.53837 104.3737 10.538365
bus 9.4211 11.01809 9.4781 10.73211 9.7563 10.64859 8.8438 12.90116 9.8138 9.668559

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 870.3090 337.132329 885.4350 329.278207 960.6702 340.920378 821.6268 314.350779 897.5572 332.585225
car 345.6307 191.350949 351.9352 189.563031 332.4633 207.320050 367.6583 170.907059 363.8183 190.313240
cycle 2283.7340 7.835491 380.6769 26.512488 2731.3124 7.626507 2193.6252 7.286126 2384.7985 7.720904
motorcycle 7906.9127 48.456329 8002.6461 48.312775 9095.3894 46.178656 7666.9297 45.586414 2122.6267 170.804037
other 855.9450 2.061971 875.4943 2.013199 1004.1689 1.905913 820.1267 1.975685 877.4067 2.113673
truck 28.9859 6.392111 29.0612 6.408709 29.9734 6.609886 27.7295 6.115045 29.7387 6.558125
bus 55.1154 20.619714 55.6869 20.526697 60.1107 20.261438 46.6157 21.855847 59.0193 20.381760

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 944.2235 365.764651 971.1526 361.155112 1039.2375 368.802150 894.0353 342.053923 987.2878 365.834455
car 385.4024 213.369697 396.9821 213.826641 369.8268 230.619526 410.6969 190.913710 410.1165 214.531824
cycle 3189.2965 10.942476 531.6327 37.025908 3810.6137 10.640186 3066.0395 10.183850 3352.7952 10.854842
motorcycle 9482.7517 58.113622 9721.9429 58.692342 10868.5652 55.181336 9214.7534 54.789542 2602.8234 209.444618
other 1626.5188 3.918284 1674.9722 3.851599 1906.5362 3.618606 1559.1404 3.755969 1673.9957 4.032656
truck 47.8884 10.560569 48.4191 10.677606 49.2712 10.865512 46.0814 10.162081 49.2786 10.867159
bus 73.3561 27.443927 74.9502 27.627287 79.6118 26.834642 62.4695 29.288935 79.0749 27.307756

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 805.1869 311.905947 814.8405 303.025309 890.9771 316.187865 758.0299 290.018889 821.3926 304.362848
car 311.6848 172.557544 315.5649 169.972906 300.4079 187.330704 330.9779 153.856104 325.2039 170.114090
cycle 1636.3672 5.614376 272.7624 18.996716 1958.8365 5.469561 1570.5203 5.216483 1698.6988 5.499622
motorcycle 6687.3176 40.982223 6721.5236 40.578510 7712.4207 39.157117 6472.8729 38.486732 1771.9697 142.587285
other 450.8488 1.086095 459.0227 1.055523 529.3254 1.004660 431.8029 1.040213 460.4069 1.109120
truck 19.3657 4.270611 19.2991 4.255937 20.0667 4.425213 18.4917 4.077874 19.7586 4.357261
bus 41.9596 15.697873 42.1139 15.523543 45.9542 15.489726 35.2819 16.541960 44.6359 15.414572

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 4852.5395 1297.10814 4921.3537 1254.46983 5119.7765 1310.45187 4564.1402 1250.27549 4858.3039 1230.93892
cycle 3162.9941 151.68246 2022.0394 197.67219 3515.5396 150.49618 3260.7946 139.35280 3264.5280 142.49124
motorcycle 5744.8206 1131.48427 5880.7285 1096.32679 6176.9909 1115.14628 6051.8683 1019.70703 4930.1464 1290.74252
car 1152.0904 184.58418 1169.4872 181.50208 1024.2574 207.08422 1187.5389 168.33096 1214.0323 169.33899
truck 902.1580 74.16826 897.0918 73.75176 915.7887 75.28887 891.4002 73.28384 895.2657 73.60163
bus 59.6557 11.15312 60.3511 10.84572 62.3986 10.74345 51.9167 13.15114 62.5073 10.18135

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 5241.0495 1400.95880 5314.7273 1354.74209 5521.9609 1413.39452 4933.3994 1351.42835 5254.0998 1331.22095
cycle 3657.0175 175.37353 2337.7016 228.53096 4062.0294 173.89078 3771.4136 161.17454 3777.1134 164.86474
motorcycle 6222.2349 1225.51450 6369.1261 1187.37730 6685.5595 1206.95933 6558.0876 1105.00225 5343.4564 1398.94962
car 1367.1205 219.03561 1387.6277 215.35705 1214.1203 245.47069 1410.2910 199.90558 1442.0908 201.14968
truck 1179.7420 96.98901 1172.8368 96.42132 1198.1376 98.50135 1165.1904 95.79269 1170.5112 96.23013
bus 118.9097 22.23115 120.2953 21.61832 124.3762 21.41444 103.4757 26.21165 124.6044 20.29590

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 4502.7539 1203.608696 4567.1493 1164.18193 4756.7926 1217.542940 4232.0375 1159.301114 4502.2245 1140.719777
cycle 2735.9301 131.202467 1749.1421 170.99408 3042.8102 130.259184 2819.5350 120.495202 2821.7482 123.164634
motorcycle 5305.4138 1044.939901 5431.1874 1012.52017 5708.5662 1030.580504 5586.1688 941.239202 4550.0159 1191.222039
car 971.8922 155.713404 986.6617 153.12793 864.9611 174.877711 1001.0275 141.893394 1023.1296 142.710979
truck 690.6069 56.776211 686.8898 56.47062 700.7062 57.606496 682.6538 56.122368 685.4619 56.353229
bus 29.9287 5.595415 30.2777 5.44122 31.3049 5.389919 26.0482 6.598325 31.3566 5.107447

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 406.4664 173.988709 407.6730 165.218333 538.0973 220.675531 363.0236 159.123576 433.0780 175.269475
cycle 543.9190 23.756151 259.4750 33.866300 730.1029 29.835948 544.5293 19.638803 604.2355 23.380078
motorcycle 898.6535 175.661678 912.3890 169.731310 1110.3718 197.726744 926.1953 140.724767 749.7700 224.644360
other 204.3660 3.011343 211.1442 2.949379 263.0557 3.453672 219.5355 2.409523 222.7730 2.506040
car 583.6756 12.045372 582.0204 11.480120 327.4648 34.491800 615.1025 9.483404 595.9188 10.525326
truck 890.5355 10.706998 887.5305 10.670868 934.7255 11.238298 878.6112 10.563630 892.8035 10.734265
bus 9.6498 5.018905 9.7382 4.839686 10.0745 4.685498 9.1748 5.698873 9.9869 4.500751

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 482.9982 206.748319 484.3424 196.29028 640.1163 262.513862 432.2009 189.445977 513.4596 207.800432
cycle 726.1761 31.716396 346.3786 45.20883 976.9613 39.923915 727.3415 26.232044 805.9667 31.185794
motorcycle 1052.6860 205.770748 1068.5267 198.77755 1305.4602 232.466625 1084.9371 164.843777 877.4689 262.905218
other 426.7963 6.288865 440.9234 6.15906 549.6860 7.216855 458.4402 5.031633 465.2030 5.233208
car 979.2076 20.208006 976.5552 19.26216 543.8194 57.280390 1033.2907 15.930862 1002.2243 17.701637
truck 1509.2483 18.145843 1500.2515 18.03767 1641.5649 19.736699 1473.6411 17.717734 1515.9457 18.226367
bus 21.8137 11.345399 22.0059 10.93642 24.0410 11.181115 20.2569 12.582470 22.8428 10.294415

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 345.9111 148.067924 347.0115 140.633961 456.1979 187.088332 308.6684 135.298135 369.1627 149.402549
cycle 407.4588 17.796130 194.4004 25.372858 545.6828 22.299546 407.7264 14.704917 453.0511 17.530201
motorcycle 767.5777 150.040033 779.4888 145.007944 944.9288 168.265889 791.1451 120.205439 640.9773 192.048129
other 97.8611 1.441989 101.1135 1.412409 125.8904 1.652821 105.1337 1.153900 106.6831 1.200110
car 348.7383 7.196948 347.7047 6.858335 197.5995 20.813116 367.0409 5.658890 355.1856 6.273413
truck 553.5051 6.654847 552.5014 6.642779 568.2633 6.832286 549.5118 6.606836 554.2729 6.664079
bus 5.1052 2.655218 5.1524 2.560643 5.2500 2.441688 4.8843 3.033869 5.2667 2.373499

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 656.3240 172.54435 664.0222 166.24560 763.1712 189.73331 645.8461 168.10557 653.5915 161.18068
car 604.1235 22.70320 629.7570 21.90808 521.2457 34.52146 689.2562 19.66841 667.8202 20.09511
motorcycle 3584.1293 345.08870 3655.6676 331.48879 4201.6849 353.30962 3963.3438 301.06704 2969.3124 371.96958
truck 2247.1010 31.78449 2247.1010 31.78449 2247.1010 31.78449 2247.1010 31.78449 2247.1010 31.78449
bus 841.0865 86.27218 859.8419 82.99999 1008.5369 86.13214 730.2992 94.39270 928.6541 75.46018

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 1150.625 302.49366 1162.796 291.11940 1322.104 328.69058 1127.284 293.41770 1155.663 284.99527
car 2350.370 88.32783 2444.936 85.05482 2107.891 139.60303 2638.076 75.27936 2583.067 77.72604
motorcycle 5518.932 531.37626 5627.867 510.32393 6466.650 543.76515 6109.957 464.12998 4563.552 571.68207
truck 4785.401 67.68789 4785.401 67.68789 4785.401 67.68789 4785.401 67.68789 4785.401 67.68789
bus 1828.166 187.51923 1865.804 180.10490 2142.227 182.95271 1604.131 207.33729 2016.681 163.87061

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 395.6953 104.02634 400.7790 100.339639 462.7916 115.05542 390.0149 101.515952 392.7584 96.857247
car 180.8094 6.79489 188.7808 6.567335 152.3172 10.08778 208.4107 5.947145 200.5319 6.034124
motorcycle 2422.7668 233.26989 2472.5015 224.201601 2835.2354 238.40815 2676.6132 203.323264 2012.5815 252.118673
truck 1055.1807 14.92517 1055.1807 14.925175 1055.1807 14.92517 1055.1807 14.925175 1055.1807 14.925175
bus 449.2569 46.08132 459.6866 44.373250 542.1228 46.29895 389.5594 50.351374 495.6819 40.277908

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 863.6074 2075.07285 890.7138 2010.84926 919.6127 2076.91525 853.8569 1990.53719 878.5203 2007.98192
car 344.7815 317.84486 347.9789 315.33353 292.4238 321.02171 369.0662 281.77795 351.2001 304.48329
motorcycle 2879.0036 731.04317 2926.4080 726.46584 3018.1779 720.27261 3018.0283 668.19384 2652.3572 1197.10756
truck 146.2204 54.48769 146.2277 54.48348 146.2204 54.48769 146.2204 54.48769 146.1895 54.43725
bus 61.7371 154.38179 62.5831 152.71453 66.5573 155.45134 60.6920 165.14912 63.8258 150.23723

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 1185.7652 2849.1526 1223.3175 2761.7254 1261.0797 2848.1071 1172.4354 2733.2170 1211.0749 2768.0823
car 637.4701 587.6667 642.7604 582.4602 555.2280 609.5272 677.1919 517.0285 649.9831 563.5220
motorcycle 4216.1247 1070.5680 4284.3081 1063.5576 4411.6021 1052.8061 4421.5280 978.9298 3894.0908 1757.5482
truck 558.0067 207.9361 557.9820 207.9005 558.0067 207.9361 558.0067 207.9361 558.0085 207.7881
bus 113.4984 283.8179 114.9171 280.4192 121.2916 283.2889 111.6597 303.8374 117.2638 276.0230

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 635.9808 1528.13257 655.8410 1480.60728 677.8617 1530.92848 628.7317 1465.71839 644.9982 1474.23416
car 210.2120 193.78881 212.3008 192.38396 175.7397 192.92641 226.0001 172.54854 213.7649 185.32977
motorcycle 2050.1590 520.58106 2084.0097 517.34476 2150.8676 513.29346 2148.0285 475.57519 1884.5083 850.54875
truck 41.2546 15.37315 41.2587 15.37272 41.2546 15.37315 41.2546 15.37315 41.2380 15.35597
bus 38.1300 95.34927 38.6606 94.33916 41.1988 96.22392 37.4718 101.96463 39.3581 92.64355

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 3476.1650 55.395818 3526.7876 51.066297 3787.0399 51.365137 3544.4250 48.281449 2972.9483 70.580943
pedestrian 945.5054 39.957639 923.6916 37.154152 1009.0887 39.684908 869.8754 37.705886 1046.5832 40.726470
truck 784.4321 4.540641 773.2812 4.476095 790.0969 4.573431 763.1509 4.417456 797.5439 4.616538
bus 102.2671 2.724385 100.3191 2.581259 115.7085 2.533616 84.2381 2.899038 119.2262 2.670608

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 6054.5032 96.483957 6137.7760 88.872235 6592.4556 89.41611 6179.9719 84.18234 5171.3872 122.774215
pedestrian 1697.5059 71.737639 1661.8799 66.846703 1808.5274 71.12481 1571.2677 68.10865 1869.6337 72.754450
truck 2972.0117 17.203322 2922.9534 16.919351 2996.8525 17.34711 2879.2000 16.66609 3028.2727 17.528986
bus 360.2303 9.596495 353.7438 9.102003 407.4659 8.92209 297.6463 10.24344 418.8969 9.383082

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 2026.2508 32.2901307 2057.8881 29.7972936 2207.8414 29.9458365 2064.7117 28.1250898 1735.5624 41.2040900
pedestrian 531.6606 22.4683018 518.4331 20.8532174 568.3987 22.3536841 486.2948 21.0790840 591.2657 23.0083623
truck 211.2265 1.2226727 208.6912 1.2079973 212.5197 1.2301583 206.3455 1.1944196 214.2797 1.2403463
bus 29.1332 0.7761045 28.5503 0.7346138 32.9678 0.7218815 23.9290 0.8235105 34.0469 0.7626336

Change in deaths due to injury per 100 million hours across cities

Write all injury tables in a single excel sheet